Abstract. Here I briefly delineate my view about the main question of this International Seminar, namely, what
should we expecting from the XXI Century regarding the advancements in intelligence research. This view can be
summarized as ‘The Brain Connection’ (TBC), meaning that neuroscience will be of paramount relevance for increasing
our current knowledge related to the key question: why are some people smarter than others? We need answers to
the issue of what happens in our brains when the genotype and the environment are integrated. The scientific community
has devoted great research efforts, ranging from observable behavior to hidden genetics, but we are still far
from having a clear general picture of what it means to be more or less intelligent. After the discussion held with
the panel of experts participating in the seminar, it is concluded that advancements will be more solid and safe
increasing the collaboration of scientists with shared research interests worldwide. Paralleling current sophisticated
analyses of how the brain computes, nowadays science may embrace a network approach.
Human level artificial general intelligence agiKarlos Svoboda
This document discusses different scenarios for the future development of artificial general intelligence (AGI). It begins by contrasting narrow AI, which focuses on solving specific problems, with AGI, which would involve a system that can understand itself, generalize knowledge across domains, and transfer skills like humans. The document then outlines several possible scenarios using the framework of scenario analysis: 1) steady incremental progress of narrow AI eventually reaching AGI, 2) narrow AI continues successfully but AGI is not achieved, and 3) AGI is developed, rapidly improves itself, and leads to a technological singularity transforming society in unpredictable ways. It discusses these scenarios and their implications in more detail.
The current deep learning revolution has brought unprecedented changes to how we live, learn, interact with the digital and physical worlds, run business and conduct sciences. These are made possible thanks to the relative ease of construction of massive neural networks that are flexible to train and scale up to the real world. But the flexibility is hitting the limits due to excessive demand of labelled data, the narrowness of the tasks, the failure to generalize beyond surface statistics to novel combinations, and the lack of the key mental faculty of deliberate reasoning. In this talk, I will present a multi-year research program to push deep learning to overcome these limitations. We aim to build dynamic neural networks that can train themselves with little labelled data, compress on-the-fly in response to resource constraints, and respond to arbitrary query about a context. The networks are equipped with capability to make use of external knowledge, and operate that the high-level of objects and relations. The long-term goal is to build persistent digital companions that co-live with us and other AI entities, understand our need and intention, and share our human values and norms. They will be capable of having natural conversations, remembering lifelong events, and learning in an open-ended fashion.
A discussion of the nature of AI/ML as an empirical science. Covering concepts in the field, how to position ourselves, how to plan for research, what are empirical methods in AI/ML, and how to build up a theory of AI.
Artificial intelligence and cognitive modeling have the same problem chapter2sabdegul
This document discusses the similarities between artificial intelligence research and cognitive modeling in addressing the "intelligence problem" - how relatively simple components like neurons or transistors can generate intelligent behavior. While cognitive science has made progress on many goals, the author argues its existing methods are not sufficient to fully understand human-level intelligence. Cognitive modeling is important but driven by fitting models to data, which does not guarantee insights into human intelligence. A new "intelligence science" field with different standards may be needed to make more progress on this challenge.
This is the talk given at the Faculty of Information Technology, Monash University on 19/08/2020. It covers our recent research on the topics of learning to reason, including dual-process theory, visual reasoning and neural memories.
Full day lectures @International University, HCM City, Vietnam, May 2019. Review of AI in 2019; outlook into the future; empirical research in AI; introduction to AI research at Deakin University
Dr Ahmad_Cognitive Sciences Strategies for Futures Studies (Foresight)Dr. Ahmad, Futurist.
Accepted to be presented by KogWis 2016: Doctoral Symposium, Bremen Spatial Cognition Research Centre, Universität Bremen, 26-30 Sep 2016.
https://mindmodeling.org/cogsci2016/papers/0704/paper0704.pdf
Abstract. Developing the conceptual model of the origin of the idea of future scenarios leads to explore Cognitive Sciences (CS) strategies for Futures Studies (FS). This research will try to answer how scenario planning would benefit from CS by reshaping mental models? In other hand, how these explored strategies could develop the future oriented intelligence's machine? This is a vast amount of work to be considered. Modeling via abduction, chance-seeking via intervention on tacit knowledge, Acquiring useful information via causality grouping, Intelligence increase over time and idea blending are just the first examples, so we have a long way to go.
How Cognitive Science Has Influenced the Applied Science of HCI “The evolutio...IOSR Journals
Cognitive science research has influenced the applied science of human-computer interaction (HCI) in several ways:
1) It has provided insights into how humans process information and make decisions, which has informed the design of user-friendly interfaces.
2) Research on topics like perception, memory, and problem-solving has helped interface designers create intuitive systems that are easy for users to understand and learn.
3) By applying findings on cognition, HCI research has also contributed to areas like education technology and made the internet a more effective learning tool.
Human level artificial general intelligence agiKarlos Svoboda
This document discusses different scenarios for the future development of artificial general intelligence (AGI). It begins by contrasting narrow AI, which focuses on solving specific problems, with AGI, which would involve a system that can understand itself, generalize knowledge across domains, and transfer skills like humans. The document then outlines several possible scenarios using the framework of scenario analysis: 1) steady incremental progress of narrow AI eventually reaching AGI, 2) narrow AI continues successfully but AGI is not achieved, and 3) AGI is developed, rapidly improves itself, and leads to a technological singularity transforming society in unpredictable ways. It discusses these scenarios and their implications in more detail.
The current deep learning revolution has brought unprecedented changes to how we live, learn, interact with the digital and physical worlds, run business and conduct sciences. These are made possible thanks to the relative ease of construction of massive neural networks that are flexible to train and scale up to the real world. But the flexibility is hitting the limits due to excessive demand of labelled data, the narrowness of the tasks, the failure to generalize beyond surface statistics to novel combinations, and the lack of the key mental faculty of deliberate reasoning. In this talk, I will present a multi-year research program to push deep learning to overcome these limitations. We aim to build dynamic neural networks that can train themselves with little labelled data, compress on-the-fly in response to resource constraints, and respond to arbitrary query about a context. The networks are equipped with capability to make use of external knowledge, and operate that the high-level of objects and relations. The long-term goal is to build persistent digital companions that co-live with us and other AI entities, understand our need and intention, and share our human values and norms. They will be capable of having natural conversations, remembering lifelong events, and learning in an open-ended fashion.
A discussion of the nature of AI/ML as an empirical science. Covering concepts in the field, how to position ourselves, how to plan for research, what are empirical methods in AI/ML, and how to build up a theory of AI.
Artificial intelligence and cognitive modeling have the same problem chapter2sabdegul
This document discusses the similarities between artificial intelligence research and cognitive modeling in addressing the "intelligence problem" - how relatively simple components like neurons or transistors can generate intelligent behavior. While cognitive science has made progress on many goals, the author argues its existing methods are not sufficient to fully understand human-level intelligence. Cognitive modeling is important but driven by fitting models to data, which does not guarantee insights into human intelligence. A new "intelligence science" field with different standards may be needed to make more progress on this challenge.
This is the talk given at the Faculty of Information Technology, Monash University on 19/08/2020. It covers our recent research on the topics of learning to reason, including dual-process theory, visual reasoning and neural memories.
Full day lectures @International University, HCM City, Vietnam, May 2019. Review of AI in 2019; outlook into the future; empirical research in AI; introduction to AI research at Deakin University
Dr Ahmad_Cognitive Sciences Strategies for Futures Studies (Foresight)Dr. Ahmad, Futurist.
Accepted to be presented by KogWis 2016: Doctoral Symposium, Bremen Spatial Cognition Research Centre, Universität Bremen, 26-30 Sep 2016.
https://mindmodeling.org/cogsci2016/papers/0704/paper0704.pdf
Abstract. Developing the conceptual model of the origin of the idea of future scenarios leads to explore Cognitive Sciences (CS) strategies for Futures Studies (FS). This research will try to answer how scenario planning would benefit from CS by reshaping mental models? In other hand, how these explored strategies could develop the future oriented intelligence's machine? This is a vast amount of work to be considered. Modeling via abduction, chance-seeking via intervention on tacit knowledge, Acquiring useful information via causality grouping, Intelligence increase over time and idea blending are just the first examples, so we have a long way to go.
How Cognitive Science Has Influenced the Applied Science of HCI “The evolutio...IOSR Journals
Cognitive science research has influenced the applied science of human-computer interaction (HCI) in several ways:
1) It has provided insights into how humans process information and make decisions, which has informed the design of user-friendly interfaces.
2) Research on topics like perception, memory, and problem-solving has helped interface designers create intuitive systems that are easy for users to understand and learn.
3) By applying findings on cognition, HCI research has also contributed to areas like education technology and made the internet a more effective learning tool.
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Contents lists available at ScienceDirectBrain and Cogniti.docxdonnajames55
Contents lists available at ScienceDirect
Brain and Cognition
journal homepage: www.elsevier.com/locate/b&c
Neuroscience and everyday life: Facing the translation problem
Jolien C. Franckena,⁎, Marc Slorsb
a Department of Psychology, University of Amsterdam, P.O. Box 15915, 1001 NK Amsterdam, Netherlands
b Faculty of Philosophy, Theology and Religious Studies, Radboud University Nijmegen, P.O. Box 9103, 6500 HD Nijmegen, Netherlands
A R T I C L E I N F O
Keywords:
Concepts
Constructs
Taxonomy
Cognitive ontology
Folk psychology
Phenomenology
Eliminativism
A B S T R A C T
To enable the impact of neuroscientific insights on our daily lives, careful translation of research findings is
required. However, neuroscientific terminology and common-sense concepts are often hard to square. For ex-
ample, when neuroscientists study lying to allow the use of brain scans for lie-detection purposes, the concept of
lying in the scientific case differs considerably from the concept in court. Furthermore, lying and other cognitive
concepts are used unsystematically and have an indirect and divergent mapping onto brain activity. Therefore,
scientific findings cannot inform our practical concerns in a straightforward way. How then can neuroscience
ultimately help determine if a defendant is legally responsible, or help someone understand their addiction
better? Since the above-mentioned problems provide serious obstacles to move from science to common-sense,
we call this the 'translation problem'. Here, we describe three promising approaches for neuroscience to face this
translation problem. First, neuroscience could propose new 'folk-neuroscience' concepts, beyond the traditional
folk-psychological array, which might inform and alter our phenomenology. Second, neuroscience can modify
our current array of common-sense concepts by refining and validating scientific concepts. Third, neuroscience
can change our views on the application criteria of concepts such as responsibility and consciousness. We believe
that these strategies to deal with the translation problem should guide the practice of neuroscientific research to
be able to contribute to our day-to-day life more effectively.
1. Introduction
Can brain scans read thoughts? If so, can they detect lies? Questions
such as these are frequently being asked today, and jurors seriously
consider the use of neuroimaging data in court (Costandi, 2013;
McCabe, Castel, & Rhodes, 2011; Roskies, Schweitzer, & Saks, 2013).
This example illustrates, on the one hand, the quick rise of the field of
neuroscience. On the other hand, however, it highlights the demand for
translation of scientific findings about the brain into language that is
appropriate to improve practices outside of cognitive neuroscience.
Usually this is the language of common-sense cognitive concepts (‘CC-
Cs’, such as ‘lying’). The use of CCCs to report research findings suggests
that these terms have the same meaning in scientific and non-scient.
This document discusses neuroplasticity and the Arrowsmith Program for addressing learning disabilities. It provides background on neuroplasticity research showing the brain's ability to change in response to stimulation and experience. The Arrowsmith Program targets 19 cognitive areas through exercises designed to differentially stimulate and strengthen specific functions. Case studies demonstrate cognitive and achievement gains in students after participating in the program, as measured by standardized tests. Areas like fluid intelligence and processing of symbols like clocks are discussed in relation to specific brain regions.
Learning Objectives• Be able to conceptualize the information.docxmanningchassidy
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology, neurology, and psychopharmacology. This includes counselo.
CHAPTER ONEIntroductionLearning Objectives• Be able to concept.docxTawnaDelatorrejs
CHAPTER ONEIntroduction
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
ENCOURAGEMENT TO THE READER
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
A MANTRA
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology.
CHAPTER ONEIntroductionLearning Objectives• Be able to concept.docxspoonerneddy
CHAPTER ONEIntroduction
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
ENCOURAGEMENT TO THE READER
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
A MANTRA
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology.
(I’ll GO OVER STEP BY STEP IN CLASS TOMORROW)Part OneP.docxgertrudebellgrove
(I’ll GO OVER STEP BY STEP IN CLASS TOMORROW)
Part One
Portfolio Critique Using Morningstar.com
Morningstar, Inc. is a leading provider of independent investment research in the United States and in major international markets and offers an extensive line of Internet, software, and print-based products for individual investors, financial advisors, and institutional clients. Morningstar is a trusted source for insightful information on stocks, mutual funds, variable annuities, closed-end funds, exchange-traded funds, separate accounts, hedge funds, and 529 college savings plans.
1. Go to www.morningstar.com. Sign up for Premium Membership. You will be able to receive a 14-day free trial. Browse the site to become familiar with everything Morningstar has to offer. Be prepared to participate in classroom discussion and bring your questions if you have any.
2. Go to X-Ray and print the page. Write a portfolio critique.
Part Two
Use the daily data on the portfolio returns and the market returns (e.g., the S&P 500 index) to estimate a single-index market model. Your analysis should include
(Morningstar automatically will calculate)
1. Standard deviation for each portfolio.
1. Covariance between the rates of return of portfolio and S&P500.
1. The correlation coefficient between each portfolio and S&P500.
1. Run a regression of each portfolio against the market return and find:\
(In fact Morningstar will automatically calculate)
0. Alpha for each portfolio.
0. Beta for each portfolio.
0. What is the systematic and nonsystematic risk of the each security?
0. Sharpe Ratio of portfolios
1. Plot the risk and return of each portfolio and draw the efficient frontiers.
1. Identify which portfolio dominates on the efficient frontier.
1. For which portfolio had an average return in excess of that predicated by the CAPM?
Essay Portion Study Guide
Psych 120, Spring 2019
1. What are aphantasia (and hyperphantasia), and why are they interesting to conceptualization researchers? What sort of information have we already discovered through studying aphantasia? Discuss TWO experiments we covered in class that could be re-examined in an aphantasic population, and why they would contribute to a greater understanding of cognition.
2. How do we recognize and categorize objects? Trace the processes involved with object recognition and categorization, discussing all possibilities covered for how we can do this. Lastly, provide TWO pieces of evidence in support of those various possibilities.
3. What is the dual visual system theory and what does it have to do with consciousness and cognition? Provide TWO pieces of evidence (neurological or behavioral) supporting the dual visual system theory. Next, discuss how those same TWO pieces of evidence might actually not support the dual visual system theory.
4. How do video games impact cognition? Are all video games equal in their benefits or detriments to various cognitive activities? Provide TWO pieces of evi ...
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The Psychology Of Childhood Social And Emotional DevelopmentKristen Stacey
The document discusses the Laboratory of Neural Systems, Decision Science, Learning and Memory which seeks to understand neural plasticity mechanisms related to memory functions. The lab is led by Dr. Sheri Mizumori, and the author has been shadowing Dr. Phillip Baker on a study examining the role of the lateral habenula in cue-related behavior switching. The initial study focuses on the lateral habenula's involvement in behavior switching when presented with a cue.
A research proposal concerning various problems and ideas about neuroscience and human consciousness. I have wanted to work on human consciousness and neuroscience for a long time. Eventually I came up with this research proposal. This is not an exhaustive research proposal however. Moreover, it does not contain any citations. I hope to be able to add them in the due course.
This document reviews recent literature on organizational cognitive neuroscience (OCN), which applies neuroscientific methods to understand human behavior in organizations. It finds that OCN research has clustered around three areas: economics, marketing, and organizational behavior. While offering important insights, OCN research faces methodological challenges including small sample sizes, limitations of reverse inference from neuroimaging data, and restricting external validity. The review argues that OCN could provide a deeper understanding of decision-making if future research addresses these issues through open data sharing and multidisciplinary approaches.
The Stroop Effect And Visual Perception Overview Write a 2-part .docxsuzannewarch
The Stroop Effect And Visual Perception
Overview
Write a 2-part assessment that discusses your experience with the Stroop Effect and concepts related to visual perception. This assessment should be a minimum of 4 pages long.
One of the central hypotheses in psychology is the relationship between stimulus and response. Sight and language are two human abilities relevant to the hypothesis of stimulus and response. Your understanding of these two abilities will help you build up a concept of the neural basis of human behaviors interacting with the world.
Show More
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
•
Competency 2: Employ critical and creative thinking to evaluate problems, conflicts, and unresolved issues in the study of biological psychology.
▪
Discuss whether a person with dyslexia or a brain injury would have more or less trouble with completing the Stroop test.
▪
Discuss the results of the Stroop test.
•
Competency 3: Examine the research methodology and tools typically associated with the study of biological psychology.
▪
Explain the role of the anterior cingulate in audiovisual processing, and the symptoms of brain injury to this area.
•
Competency 4: Assess the important theories, paradigms, research findings, and conclusions in biological psychology.
▪
Define the problem of final integration of visual information.
▪
Discuss whether there is a problem with final integration of visual information.
•
Competency 6: Communicate effectively in a variety of formats.
▪
Write coherently to support a central idea with correct grammar, usage, and mechanics as expected of a
psychology professional.
▪
Use APA style and format.
Context
Recent technologies employed in the study of the brain regions regulating speech are helping scientists better understand the neural basis of human behaviors interacting with the world. For example, MRI imaging studies are revealing other areas within the brain that may also play a role in language and reading. Another example is that both Broca's and Wernicke's areas are fundamental to speech ability, but the specific mechanism of how each plays into oral language is still unclear. This is still a new area that challenges psychologists, neurologists, and speech therapists.
Humans use different parts of their brain to discriminate objects from people. In fact, we may have specialized neurons for recognizing faces. This relates to the main theme of this assessment: vision and visual perception. Many questions about human vision are unanswered. For example, different areas of the brain respond differently to visual recognition tasks, but how and why these areas cooperate to process visual information remains unclear. Another example: The visual cortex contains several layers, the functional roles of which are the subject of intense investigation. Questions include, .
This document discusses several key themes in neuroethics:
1) Neuroethics examines the social and ethical issues that arise from the intersection of neuroscience and society, such as how neuroscience may impact ideas of free will, personal responsibility, and human identity.
2) Rapid advances in neuroscience technologies like brain imaging raise issues regarding privacy, coercion, and the appropriate uses of such technologies.
3) A deeper scientific understanding of the biological basis of human cognition and behavior challenges traditional concepts of human nature, personality, and the relationship between mind, brain, and personal identity.
Discussion 2 Influence of Neuroscience on Cognitive ResearchScihuttenangela
Discussion 2: Influence of Neuroscience on Cognitive Research
Scientists have engaged in study to determine whether or not the parts of the brain specialize in one task exclusively, performing an action repetitively like factory workers on a traditional assembly line. Some theorize that individual neural regions specialize in various tasks, at times even “contracting” one another for collaborative interactions (Kanwisher, 2010).
However the brain conducts its processing, the manner in which this occurs directly influences how humans appear on the “outside.” Thus, if human attitudes toward ethnically different groups correspond with “increased activity in the amygdala, dorsolateral prefrontal cortex, and anterior cingulate cortex,” (2008, p. 65) a deeper understanding of this activity may correlate with greater awareness of the mechanisms behind stereotyping and prejudice.
It is now possible to examine questions such as these using the arsenal of research methodologies available to cognitive research. Some examples of these methodologies include functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET), Transcranial Magnetic Stimulation (TMS), and Magnetoencephalograpy (MEG).
For this Discussion, you identify a major impact of neuroscience on cognitive psychology. You then explain impacts of neuroscience on social change. You also consider a related question you find interesting and describe effective research methods for investigating it. Locate five articles published in the last five years in peer-reviewed journals that document research involving questions and methodologies that you find interesting.
References:
Cacioppo, J. T., Berntson, C. G., & Nusbaum, H. C. (2008). Neuroimaging as a new tool in the toolbox of psychological science.
Current Directions in Psychological Science, 17
(2), 62–67.
Kanwisher, N. (2010). Functional specificity in the human brain: A window into the functional architecture of the mind.
Proceedings of the National Academy of Sciences USA, 107
(25), 11163–11170.
With these thoughts in mind:
By Day 4
Post
a brief explanation of one major impact neuroscience has had on the field of cognitive psychology. Explain how neuroscience might influence social change. Then research one question related to cognitive psychology that is interesting to you. Finally, discuss the research method you would use to investigate that question and explain why your selected method might be most suitable.
Be sure to support your postings and responses with specific references to the Learning Resources.
...
This document provides an overview of the structure and function of the brain and nervous system. It describes the major parts of the brain including the cerebrum, cerebellum, brainstem, and spinal cord. It explains how the brain is divided into lobes and nuclei that control different functions like movement, senses, and cognition. It also describes the central and peripheral nervous systems, and how neurons are the basic functional units that transmit signals throughout the nervous system to control bodily functions and behavior.
This document provides an overview of the structure and function of the brain and nervous system. It describes the major parts of the brain including the cerebrum, cerebellum, brainstem, and spinal cord. It explains how the brain is divided into lobes and nuclei that control different functions like movement, senses, and cognition. It also describes the central and peripheral nervous systems, and how neurons are the basic functional units that transmit signals throughout the nervous system to control bodily functions and behavior.
Neuromarketing analyzes consumer decision making and brain activity to understand purchasing behaviors. Martin Lindstrom explains most decisions in grocery stores are made subconsciously in under four seconds. The brain has over 100 billion cells and processes visual stimuli quickly, putting visual components above other senses. Neuroimaging techniques like EEG, fMRI, and MEG are used to effectively measure brain activity and assess how marketing stimulates regions related to emotion, attention, and memory formation.
In recent decades, psychologists and economists have cataloged the ways in which human behavior deviates
from economic theory.1 They have done this mostly through experiments and observation. Daniel Kahneman
and Amos Tversky, psychologists who formalized this research, showed that individuals use heuristics, or rules
of thumb, to make their judgments. These heuristics lead to biases when compared to normative economic
behavior.2 For example, people generally place too much weight on information that is available to their minds,
often associated with an event that is vivid or recent, and overestimate the probability of a similar event
occurring again.
Examples Of A Cause And Effect Essay. Cause and effect essay tipsAnita Walker
2 Cause and Effect Essay Examples That Will Cause a Stir. Cause and Effect Essay Examples of Writing | by Sample Essay | Medium. Cause and Effect Essay Examples | YourDictionary. Amazing Cause And Effect Essay Examples ~ Thatsnotus. How To Write A Cause And Effect Essay | Essay Writing. How To Write A Cause And Effect Essay - unugtp. ️ Cause topics. Cause and Effect Essay Topics. 2019-01-12.
E D I T O R I A LWhat Neuroscience Can andCannot Answer.docxbrownliecarmella
E D I T O R I A L
What Neuroscience Can and
Cannot Answer
Octavio S. Choi, MD, PhD
J Am Acad Psychiatry Law 45:278 – 85, 2017
We truly live in the golden age of neuroscience. Ad-
vances in technology over the past 20 years have
given modern neuro-researchers tools of unprece-
dented power to probe the workings of the most
complex machine in the universe (as far as we know).
Neuroscience as a field is driven by our natural fasci-
nation with understanding how a physical organ,
weighing three pounds and running on 20 watts of
power, can give rise to the mind, and with it, our
thoughts, feelings, soul, and identity. Brain activity is
presumably the source of all these things, but how,
exactly? Culturally, neuroscience is a currency that
enjoys very high capital, and public fascination with
neuroscience is evident in the news and popular cul-
ture.1 Neuroscience is cool: prestigious, high-tech,
complex, philosophically rich, and beautiful.
It is of increasing interest in the courtroom as well,
and each year the number of cases using neuroscience-
based evidence rises.2 The reasons for this are clear
enough. Many legal decisions depend on accurate
assessment of mental states and mental capacities
(such as capacity for rationality or control over one’s
behaviors), and the hope is that neuroscience can
shed light on these matters.
I have participated in several of these cases in my
early career and have seen enough to report that there
is trouble afoot. I have witnessed neuroscience re-
peatedly misrepresented and misused. Certain pat-
terns have emerged: speculations clothed as facts, er-
rors of logical reasoning, and hasty conclusions
unsupported by evidence and unrestrained by cau-
tion. I have found too much weight placed on iso-
lated neurofindings and too little weight on good
clinical observation and other kinds of behavioral
evidence.
Forensic psychiatrists will be increasingly asked to
opine on neuroevidence, and thus we must be able to
distinguish neuroscience from neuro-nonsense. To do
this, we should understand what kinds of questions
neuroscience currently can and cannot answer. Fur-
thermore, we must understand the kinds of questions
neuroscience will never be able to answer. Finally, in
the interests of justice, when we recognize that neu-
roscience is being misused or misrepresented, we
must be forthright in communicating this informa-
tion to finders of fact.
Presciently, in 2006 Morse identified signs of a
cognitive pathology he labeled brain overclaim syn-
drome (BOS). This devastating illness “afflicts those
inflamed by the fascinating new discoveries in the
neurosciences,” leading to a “rationality-unhinging
effect . . . the final pathway, in all cases . . . is that
more legal implications are claimed for the brain sci-
ence than can be justified” (Ref. 3, p 403).
Part of the problem is that neuroscience evidence
is genuinely mind boggling. A bar chart can be gen-
erated by a grade schooler on her smartphone, but a
fu.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
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Contents lists available at ScienceDirectBrain and Cogniti.docxdonnajames55
Contents lists available at ScienceDirect
Brain and Cognition
journal homepage: www.elsevier.com/locate/b&c
Neuroscience and everyday life: Facing the translation problem
Jolien C. Franckena,⁎, Marc Slorsb
a Department of Psychology, University of Amsterdam, P.O. Box 15915, 1001 NK Amsterdam, Netherlands
b Faculty of Philosophy, Theology and Religious Studies, Radboud University Nijmegen, P.O. Box 9103, 6500 HD Nijmegen, Netherlands
A R T I C L E I N F O
Keywords:
Concepts
Constructs
Taxonomy
Cognitive ontology
Folk psychology
Phenomenology
Eliminativism
A B S T R A C T
To enable the impact of neuroscientific insights on our daily lives, careful translation of research findings is
required. However, neuroscientific terminology and common-sense concepts are often hard to square. For ex-
ample, when neuroscientists study lying to allow the use of brain scans for lie-detection purposes, the concept of
lying in the scientific case differs considerably from the concept in court. Furthermore, lying and other cognitive
concepts are used unsystematically and have an indirect and divergent mapping onto brain activity. Therefore,
scientific findings cannot inform our practical concerns in a straightforward way. How then can neuroscience
ultimately help determine if a defendant is legally responsible, or help someone understand their addiction
better? Since the above-mentioned problems provide serious obstacles to move from science to common-sense,
we call this the 'translation problem'. Here, we describe three promising approaches for neuroscience to face this
translation problem. First, neuroscience could propose new 'folk-neuroscience' concepts, beyond the traditional
folk-psychological array, which might inform and alter our phenomenology. Second, neuroscience can modify
our current array of common-sense concepts by refining and validating scientific concepts. Third, neuroscience
can change our views on the application criteria of concepts such as responsibility and consciousness. We believe
that these strategies to deal with the translation problem should guide the practice of neuroscientific research to
be able to contribute to our day-to-day life more effectively.
1. Introduction
Can brain scans read thoughts? If so, can they detect lies? Questions
such as these are frequently being asked today, and jurors seriously
consider the use of neuroimaging data in court (Costandi, 2013;
McCabe, Castel, & Rhodes, 2011; Roskies, Schweitzer, & Saks, 2013).
This example illustrates, on the one hand, the quick rise of the field of
neuroscience. On the other hand, however, it highlights the demand for
translation of scientific findings about the brain into language that is
appropriate to improve practices outside of cognitive neuroscience.
Usually this is the language of common-sense cognitive concepts (‘CC-
Cs’, such as ‘lying’). The use of CCCs to report research findings suggests
that these terms have the same meaning in scientific and non-scient.
This document discusses neuroplasticity and the Arrowsmith Program for addressing learning disabilities. It provides background on neuroplasticity research showing the brain's ability to change in response to stimulation and experience. The Arrowsmith Program targets 19 cognitive areas through exercises designed to differentially stimulate and strengthen specific functions. Case studies demonstrate cognitive and achievement gains in students after participating in the program, as measured by standardized tests. Areas like fluid intelligence and processing of symbols like clocks are discussed in relation to specific brain regions.
Learning Objectives• Be able to conceptualize the information.docxmanningchassidy
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology, neurology, and psychopharmacology. This includes counselo.
CHAPTER ONEIntroductionLearning Objectives• Be able to concept.docxTawnaDelatorrejs
CHAPTER ONEIntroduction
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
ENCOURAGEMENT TO THE READER
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
A MANTRA
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology.
CHAPTER ONEIntroductionLearning Objectives• Be able to concept.docxspoonerneddy
CHAPTER ONEIntroduction
Learning Objectives
• Be able to conceptualize the “information explosion” and how it relates to the brain sciences.
• Be able to describe pharmacodynamics and pharmacokinetics.
• Be able to articulate the benefits of an integrative approach to psychopharmacology.
ENCOURAGEMENT TO THE READER
Some of you may begin this book with some anxiety because this is a new area for you. You may imagine that psychopharmacology is exclusively a “hard science,” and perhaps you don't think of yourself as a “hard science” kind of person. You may even feel uncertain about your ability to master basic psychopharmacological concepts. First, let us assure you one more time that our goal is to make this topic accessible to readers who are practicing as or studying to be mental health professionals, many of whom may not have a background in the physical or organic sciences. Second, we recommend to those teaching a course in psychopharmacology that, because of the rapid nature of change in the field, teaching styles that rely on memorization are of limited use in this area. We recommend helping students master basic concepts and then applying these concepts to cases. To facilitate that process, we supply cases and objectives/review questions for main sections of the book. Finally, we invite you students to join us in an incredible journey centering on the most complex organ known to humanity—the human mind and brain. We hope you can revel in the complexity of the brain and the sheer magnitude of its power. We hope you can resist the temptation to want simple and concrete answers to many of the questions this journey will raise. We also hope you learn to appreciate the ambiguous nature of “mind” and its relationship to the brain. As authors and researchers who have traveled this path before us will attest, there are no simple or even known answers to many of the questions that arise (Grilly & Salmone, 2011; Schatzberg & Nemeroff, 1998). We encourage a mixture of trying to comprehend the information while dwelling in the mystery that is the context for the information. Before moving on, we offer a mantra to help you implement this recommendation.
A MANTRA
Even though psychopharmacology is in its embryonic stage, it is a vast and complex topic. Several years ago I (Ingersoll) engaged in some multicultural counseling training with Paul Pederson. In that training, Dr. Pederson commented, “Culture is complex, and complexity is our friend.” We offer a paraphrase as a mantra for psychopharmacology students: “Reality is complex, and complexity is our friend.” We remind the reader of this mantra throughout the book. You might try saying it aloud right now: “Reality is complex, and complexity is our friend.” If you reach a passage in this book that is challenging for you or that arouses anxiety, stop, take a deep breath, and practice the mantra.
The primary audience for this book is mental health clinicians who may not have had much training in biology.
(I’ll GO OVER STEP BY STEP IN CLASS TOMORROW)Part OneP.docxgertrudebellgrove
(I’ll GO OVER STEP BY STEP IN CLASS TOMORROW)
Part One
Portfolio Critique Using Morningstar.com
Morningstar, Inc. is a leading provider of independent investment research in the United States and in major international markets and offers an extensive line of Internet, software, and print-based products for individual investors, financial advisors, and institutional clients. Morningstar is a trusted source for insightful information on stocks, mutual funds, variable annuities, closed-end funds, exchange-traded funds, separate accounts, hedge funds, and 529 college savings plans.
1. Go to www.morningstar.com. Sign up for Premium Membership. You will be able to receive a 14-day free trial. Browse the site to become familiar with everything Morningstar has to offer. Be prepared to participate in classroom discussion and bring your questions if you have any.
2. Go to X-Ray and print the page. Write a portfolio critique.
Part Two
Use the daily data on the portfolio returns and the market returns (e.g., the S&P 500 index) to estimate a single-index market model. Your analysis should include
(Morningstar automatically will calculate)
1. Standard deviation for each portfolio.
1. Covariance between the rates of return of portfolio and S&P500.
1. The correlation coefficient between each portfolio and S&P500.
1. Run a regression of each portfolio against the market return and find:\
(In fact Morningstar will automatically calculate)
0. Alpha for each portfolio.
0. Beta for each portfolio.
0. What is the systematic and nonsystematic risk of the each security?
0. Sharpe Ratio of portfolios
1. Plot the risk and return of each portfolio and draw the efficient frontiers.
1. Identify which portfolio dominates on the efficient frontier.
1. For which portfolio had an average return in excess of that predicated by the CAPM?
Essay Portion Study Guide
Psych 120, Spring 2019
1. What are aphantasia (and hyperphantasia), and why are they interesting to conceptualization researchers? What sort of information have we already discovered through studying aphantasia? Discuss TWO experiments we covered in class that could be re-examined in an aphantasic population, and why they would contribute to a greater understanding of cognition.
2. How do we recognize and categorize objects? Trace the processes involved with object recognition and categorization, discussing all possibilities covered for how we can do this. Lastly, provide TWO pieces of evidence in support of those various possibilities.
3. What is the dual visual system theory and what does it have to do with consciousness and cognition? Provide TWO pieces of evidence (neurological or behavioral) supporting the dual visual system theory. Next, discuss how those same TWO pieces of evidence might actually not support the dual visual system theory.
4. How do video games impact cognition? Are all video games equal in their benefits or detriments to various cognitive activities? Provide TWO pieces of evi ...
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The Psychology Of Childhood Social And Emotional DevelopmentKristen Stacey
The document discusses the Laboratory of Neural Systems, Decision Science, Learning and Memory which seeks to understand neural plasticity mechanisms related to memory functions. The lab is led by Dr. Sheri Mizumori, and the author has been shadowing Dr. Phillip Baker on a study examining the role of the lateral habenula in cue-related behavior switching. The initial study focuses on the lateral habenula's involvement in behavior switching when presented with a cue.
A research proposal concerning various problems and ideas about neuroscience and human consciousness. I have wanted to work on human consciousness and neuroscience for a long time. Eventually I came up with this research proposal. This is not an exhaustive research proposal however. Moreover, it does not contain any citations. I hope to be able to add them in the due course.
This document reviews recent literature on organizational cognitive neuroscience (OCN), which applies neuroscientific methods to understand human behavior in organizations. It finds that OCN research has clustered around three areas: economics, marketing, and organizational behavior. While offering important insights, OCN research faces methodological challenges including small sample sizes, limitations of reverse inference from neuroimaging data, and restricting external validity. The review argues that OCN could provide a deeper understanding of decision-making if future research addresses these issues through open data sharing and multidisciplinary approaches.
The Stroop Effect And Visual Perception Overview Write a 2-part .docxsuzannewarch
The Stroop Effect And Visual Perception
Overview
Write a 2-part assessment that discusses your experience with the Stroop Effect and concepts related to visual perception. This assessment should be a minimum of 4 pages long.
One of the central hypotheses in psychology is the relationship between stimulus and response. Sight and language are two human abilities relevant to the hypothesis of stimulus and response. Your understanding of these two abilities will help you build up a concept of the neural basis of human behaviors interacting with the world.
Show More
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
•
Competency 2: Employ critical and creative thinking to evaluate problems, conflicts, and unresolved issues in the study of biological psychology.
▪
Discuss whether a person with dyslexia or a brain injury would have more or less trouble with completing the Stroop test.
▪
Discuss the results of the Stroop test.
•
Competency 3: Examine the research methodology and tools typically associated with the study of biological psychology.
▪
Explain the role of the anterior cingulate in audiovisual processing, and the symptoms of brain injury to this area.
•
Competency 4: Assess the important theories, paradigms, research findings, and conclusions in biological psychology.
▪
Define the problem of final integration of visual information.
▪
Discuss whether there is a problem with final integration of visual information.
•
Competency 6: Communicate effectively in a variety of formats.
▪
Write coherently to support a central idea with correct grammar, usage, and mechanics as expected of a
psychology professional.
▪
Use APA style and format.
Context
Recent technologies employed in the study of the brain regions regulating speech are helping scientists better understand the neural basis of human behaviors interacting with the world. For example, MRI imaging studies are revealing other areas within the brain that may also play a role in language and reading. Another example is that both Broca's and Wernicke's areas are fundamental to speech ability, but the specific mechanism of how each plays into oral language is still unclear. This is still a new area that challenges psychologists, neurologists, and speech therapists.
Humans use different parts of their brain to discriminate objects from people. In fact, we may have specialized neurons for recognizing faces. This relates to the main theme of this assessment: vision and visual perception. Many questions about human vision are unanswered. For example, different areas of the brain respond differently to visual recognition tasks, but how and why these areas cooperate to process visual information remains unclear. Another example: The visual cortex contains several layers, the functional roles of which are the subject of intense investigation. Questions include, .
This document discusses several key themes in neuroethics:
1) Neuroethics examines the social and ethical issues that arise from the intersection of neuroscience and society, such as how neuroscience may impact ideas of free will, personal responsibility, and human identity.
2) Rapid advances in neuroscience technologies like brain imaging raise issues regarding privacy, coercion, and the appropriate uses of such technologies.
3) A deeper scientific understanding of the biological basis of human cognition and behavior challenges traditional concepts of human nature, personality, and the relationship between mind, brain, and personal identity.
Discussion 2 Influence of Neuroscience on Cognitive ResearchScihuttenangela
Discussion 2: Influence of Neuroscience on Cognitive Research
Scientists have engaged in study to determine whether or not the parts of the brain specialize in one task exclusively, performing an action repetitively like factory workers on a traditional assembly line. Some theorize that individual neural regions specialize in various tasks, at times even “contracting” one another for collaborative interactions (Kanwisher, 2010).
However the brain conducts its processing, the manner in which this occurs directly influences how humans appear on the “outside.” Thus, if human attitudes toward ethnically different groups correspond with “increased activity in the amygdala, dorsolateral prefrontal cortex, and anterior cingulate cortex,” (2008, p. 65) a deeper understanding of this activity may correlate with greater awareness of the mechanisms behind stereotyping and prejudice.
It is now possible to examine questions such as these using the arsenal of research methodologies available to cognitive research. Some examples of these methodologies include functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET), Transcranial Magnetic Stimulation (TMS), and Magnetoencephalograpy (MEG).
For this Discussion, you identify a major impact of neuroscience on cognitive psychology. You then explain impacts of neuroscience on social change. You also consider a related question you find interesting and describe effective research methods for investigating it. Locate five articles published in the last five years in peer-reviewed journals that document research involving questions and methodologies that you find interesting.
References:
Cacioppo, J. T., Berntson, C. G., & Nusbaum, H. C. (2008). Neuroimaging as a new tool in the toolbox of psychological science.
Current Directions in Psychological Science, 17
(2), 62–67.
Kanwisher, N. (2010). Functional specificity in the human brain: A window into the functional architecture of the mind.
Proceedings of the National Academy of Sciences USA, 107
(25), 11163–11170.
With these thoughts in mind:
By Day 4
Post
a brief explanation of one major impact neuroscience has had on the field of cognitive psychology. Explain how neuroscience might influence social change. Then research one question related to cognitive psychology that is interesting to you. Finally, discuss the research method you would use to investigate that question and explain why your selected method might be most suitable.
Be sure to support your postings and responses with specific references to the Learning Resources.
...
This document provides an overview of the structure and function of the brain and nervous system. It describes the major parts of the brain including the cerebrum, cerebellum, brainstem, and spinal cord. It explains how the brain is divided into lobes and nuclei that control different functions like movement, senses, and cognition. It also describes the central and peripheral nervous systems, and how neurons are the basic functional units that transmit signals throughout the nervous system to control bodily functions and behavior.
This document provides an overview of the structure and function of the brain and nervous system. It describes the major parts of the brain including the cerebrum, cerebellum, brainstem, and spinal cord. It explains how the brain is divided into lobes and nuclei that control different functions like movement, senses, and cognition. It also describes the central and peripheral nervous systems, and how neurons are the basic functional units that transmit signals throughout the nervous system to control bodily functions and behavior.
Neuromarketing analyzes consumer decision making and brain activity to understand purchasing behaviors. Martin Lindstrom explains most decisions in grocery stores are made subconsciously in under four seconds. The brain has over 100 billion cells and processes visual stimuli quickly, putting visual components above other senses. Neuroimaging techniques like EEG, fMRI, and MEG are used to effectively measure brain activity and assess how marketing stimulates regions related to emotion, attention, and memory formation.
In recent decades, psychologists and economists have cataloged the ways in which human behavior deviates
from economic theory.1 They have done this mostly through experiments and observation. Daniel Kahneman
and Amos Tversky, psychologists who formalized this research, showed that individuals use heuristics, or rules
of thumb, to make their judgments. These heuristics lead to biases when compared to normative economic
behavior.2 For example, people generally place too much weight on information that is available to their minds,
often associated with an event that is vivid or recent, and overestimate the probability of a similar event
occurring again.
Examples Of A Cause And Effect Essay. Cause and effect essay tipsAnita Walker
2 Cause and Effect Essay Examples That Will Cause a Stir. Cause and Effect Essay Examples of Writing | by Sample Essay | Medium. Cause and Effect Essay Examples | YourDictionary. Amazing Cause And Effect Essay Examples ~ Thatsnotus. How To Write A Cause And Effect Essay | Essay Writing. How To Write A Cause And Effect Essay - unugtp. ️ Cause topics. Cause and Effect Essay Topics. 2019-01-12.
E D I T O R I A LWhat Neuroscience Can andCannot Answer.docxbrownliecarmella
E D I T O R I A L
What Neuroscience Can and
Cannot Answer
Octavio S. Choi, MD, PhD
J Am Acad Psychiatry Law 45:278 – 85, 2017
We truly live in the golden age of neuroscience. Ad-
vances in technology over the past 20 years have
given modern neuro-researchers tools of unprece-
dented power to probe the workings of the most
complex machine in the universe (as far as we know).
Neuroscience as a field is driven by our natural fasci-
nation with understanding how a physical organ,
weighing three pounds and running on 20 watts of
power, can give rise to the mind, and with it, our
thoughts, feelings, soul, and identity. Brain activity is
presumably the source of all these things, but how,
exactly? Culturally, neuroscience is a currency that
enjoys very high capital, and public fascination with
neuroscience is evident in the news and popular cul-
ture.1 Neuroscience is cool: prestigious, high-tech,
complex, philosophically rich, and beautiful.
It is of increasing interest in the courtroom as well,
and each year the number of cases using neuroscience-
based evidence rises.2 The reasons for this are clear
enough. Many legal decisions depend on accurate
assessment of mental states and mental capacities
(such as capacity for rationality or control over one’s
behaviors), and the hope is that neuroscience can
shed light on these matters.
I have participated in several of these cases in my
early career and have seen enough to report that there
is trouble afoot. I have witnessed neuroscience re-
peatedly misrepresented and misused. Certain pat-
terns have emerged: speculations clothed as facts, er-
rors of logical reasoning, and hasty conclusions
unsupported by evidence and unrestrained by cau-
tion. I have found too much weight placed on iso-
lated neurofindings and too little weight on good
clinical observation and other kinds of behavioral
evidence.
Forensic psychiatrists will be increasingly asked to
opine on neuroevidence, and thus we must be able to
distinguish neuroscience from neuro-nonsense. To do
this, we should understand what kinds of questions
neuroscience currently can and cannot answer. Fur-
thermore, we must understand the kinds of questions
neuroscience will never be able to answer. Finally, in
the interests of justice, when we recognize that neu-
roscience is being misused or misrepresented, we
must be forthright in communicating this informa-
tion to finders of fact.
Presciently, in 2006 Morse identified signs of a
cognitive pathology he labeled brain overclaim syn-
drome (BOS). This devastating illness “afflicts those
inflamed by the fascinating new discoveries in the
neurosciences,” leading to a “rationality-unhinging
effect . . . the final pathway, in all cases . . . is that
more legal implications are claimed for the brain sci-
ence than can be justified” (Ref. 3, p 403).
Part of the problem is that neuroscience evidence
is genuinely mind boggling. A bar chart can be gen-
erated by a grade schooler on her smartphone, but a
fu.
Similar to Colom(2016)advances in intelligence (20)
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
2. 2 R. Colom
be translated into The Brain Connection (TBC) view
(Colom, 2015): the biggest unsolved problem is how
the brain generates intelligence from the genotype and
from the environmental relevant ingredients.
Nevertheless, perhaps the most suggestive issue dis-
cussed by Adolphs relates to the distinction among
different types of problems: (four) problems that are
solved (or soon will be), (eight) problems that we
should be able to solve in the next fifty years, (five)
problems that we should be able to solve but who
knows when, and (three) problems we may never
solve (see his Box 2).
We already know how single neurons compute
and what is the connectome of small nervous systems,
but we still lack reliable knowledge regarding how
neuronal circuits compute or how brains produce
decisions. Consistent with TBC view, Adolphs thinks
we should be able to solve two key problems:
a. What is the complete connectome of the human
brain?
b. How could we make everybody’s brain function
best?
In this respect, on his monumental book about
intelligence research, Hunt (2011a) admits the cru-
cial role of the brain for understanding human intel-
ligence. Indeed, everything related with intelligent
behavior is supported by actions taking place in our
brains: “if we knew the nature of every connection between
the approx. five billion neurons in a person’s brain, and
if we knew the algorithms the brain uses to activate
and alter these connections, we would know everything
there is to know about that person’s cognition” (Hunt,
2011a).
On his recent inspiring book about the neurosci-
ence of intelligence, Richard J. Haier acknowledges
that, at the end of the day, scientific research is ori-
ented towards the key goal of finding efficient ways
for enhancing the intelligence level of the popula-
tion (Haier, 2016). But for achieving this ultimate
(and desirable) purpose, we must understand how
our brains produce our intelligence (TBC again).
Let me close this section noting that Ralph Adolphs
considers that the ‘mind’ includes cognition, compu-
tation, information processing, thinking, and reasoning.
Interestingly, all these features are comprised by the
shared definition of intelligence: “a very general mental
capability that, among other things, involves the ability to
reason, plan, solve problems, think abstractly, comprehend
complex ideas, learn quickly, and learn from experience”
(Gottfredson, 1997). Adolphs himself goes further by
assuming that all these features are somehow related.
Intelligence researchers know very well what this fact
involves. I will return to this key issue below.
Intelligence according to the American Psychological
Association (1996–2012)
The APAreports on intelligence published fifteen years
apart are useful here because they identified ‘knowns
and unknowns’ within the intelligence research area.
These were the main points noted by Neisser et al.
(1996) after their exhaustive revision of the available
evidence:
- Research has identified correlations of cognitive
(information-processing) and brain measures with
psychometric intelligence. However, we do not
know why these factors are related.
- Genetic differences contribute to intelligence differ-
ences. However, we do not know the mechanics
linking genes and behavior.
- The impact of genetic differences increases across
the life span. However, we do not know why this
happens.
- We know the environment is important, but we
still lack solid knowledge regarding the specific
factors contributing to intelligence differences.
- Intelligence test scores have meaningfully increased
in the last decades (Flynn effect). However, scientists
still argue about the causes behind this secular trend.
- Identified average population differences (sex, race)
do not result from biases related with test construction
or test administration.
Nisbett et al.’s (2012) updated this report and five
were the most relevant points:
- There is a strong correlation between intelligence
and working memory capacity, but we still don’t
know why.
- Secular gains in intelligence (Flynn effect) are envi-
ronmentally caused and this fact is consistent with
the strong genetic influence over intelligence differ-
ences within generations.
- The general factor of intelligence (g) is unitary at
the psychometric level, but there are models sug-
gesting that it is not unitary at the cognitive and
brain levels. The ‘Process Overlap Theory’ proposed
by Kovacs and Conway (2016) is a recent example
(see Colom, Chuderski, Santarnecchi, 2016; for a
critical comment).
- Presumed non-cognitive psychological factors such
as ‘self-control’ might be relevant for understanding
intellectual performance differences.
- Finally, ‘stress’ may have some impact over the
observed group differences in intelligence.
Both reports acknowledge how research based on
psychometric methods greatly contributed to our
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3. Advances in Intelligence Research 3
impressive current knowledge, and they also invite to
increase shared and sustained efforts for going one
step further avoiding crude political assertions. The
XXI Century must move beyond old-fashioned and
outdated arguments regarding this psychological factor.
Thus, for instance, we already know test scores do
reflect intelligence and saying that these scores are not
socially important ignores the available scientific facts.
Furthermore, these facts dramatically fail to support the
popular perspective that intelligence can be described
by a set of independent cognitive abilities. We know
these abilities are related to a substantial extent (Hunt,
2011a). Revisiting these core issues again and again is
not really smart or wise.
Interlude
In this interlude, I want to highlight, before moving
ahead, four key issues related with the presentations of
this international seminar.
First, as said before, the psychometric approach has
been very useful for expanding our understanding
of the intelligence construct. Furthermore, millions of
intelligence tests are administered annually world-
wide because they are appreciated as reliable and valid
assessment devices (Detterman, 2014). These tests mea-
sure cognitive abilities unique to the testing situation
(testing skills), cognitive abilities relevant for our
society (reasoning), and cognitive abilities common
to humankind (spatial-visual reasoning and memory)
(Hunt, 2011a). Detterman’s presentation discussed
evidence leading to the unappreciated finding that
students’ cognitive abilities measured by these stan-
dardized intelligence tests largely surpass traditionally
underscored factors, such as teachers and schools, for
predicting learning outcomes.
Classic standardized testing will be with us for
a while, but we must move beyond these classic
approaches for monitoring behavior outside standard-
ized testing. We must invest our resources for moving
from conventional testing procedures to the rigorous
measurement of intelligent behavior in settings as close
as possible to everyday life (Hunt, 2011b). In this regard,
Quiroga’s proposal for measuring intelligence using
video games seems highly relevant.
Second, general intelligence (g) is mainly related with
two information-processing cognitive abilities, namely,
working memory capacity (WMC) and speed of infor-
mation processing. Colom et al. (2016) revised this
issue at length, concluding that the strong relationship
between g and WMC can be explained by a common
capacity (abstract working memory) or the ability to
construct and maintain arbitrary bindings (relational
integration). Basic executive control processes, such as
attention, interference resolution, and inhibition, are
much less relevant in this regard. Furthermore, process-
ing speed seems to play some role only when children
or older adults are considered (Tourva, Spanoudis,
Demetriou, 2016).
Third, more than four centuries ago, Huarte de
San Juan (1575) acknowledged that intelligence must
have one strong biological substrate. We now know
this is the case, but we are also still looking for answers.
Nevertheless, we have learned many interesting
things since Huarte’s times. Stuart Ritchie, Emiliano
Santarnecchi, Adam Chuderski, and Norbert Jausovec
discussed several of these things on their presenta-
tions, mainly focused on functional data.
The available neuroscience evidence is generally
consistent with the parieto-frontal integration theory
(P-FIT) of intelligence (Jung Haier, 2007) meaning
that individual differences in frontal and parietal
regions, along with their communication, are espe-
cially relevant for supporting intelligence differences
(Barbey et al., 2012; Colom et al., 2009; Gläscher et al.,
2010; Pineda-Pardo, Martínez, Román, Colom, 2016).
However, available findings also show that different
brain networks might be relevant for different individ-
uals (Martínez et al., 2015). In this regard, the recent
meta-analysis by Basten, Hilger, and Fiebach (2015)
showed that structural and functional features of the
brain do not overlap for accounting for intelligence
differences.
Interestingly, after analyzing the relationships between
functional connectomes and almost 300 behavioral/
demographic measures in more than 450 individ-
uals, Smith et al. (2015) discovered one single mode
of population covariation. These researchers made
one straightforward parallelism between the identi-
fied population covariation and the general factor of
intelligence (g) discovered more than a century ago
by Charles Spearman. However, they underscore
the fact that the covariation goes beyond intelligent
behavior and includes further factors such as years
of education, income, or life satisfaction. The general
mode of positive (or negative) function results from
the coordinated interactions among brain networks.
This is definitely good news for those who assume
that simple explanations are better than complex ones.
In passing, note this key finding is highly consistent
with TBC view.
Finally, the goal of ‘hunting’ specific genes respon-
sible for the acknowledged genetic contribution to
individual differences in intelligence has been elusive
for more than twenty years. The recent study by Spain
et al. (2015) is a key example. They compared 1409
individuals with IQs 170 and 3253 non-overlapping
controls, failing to find significant differences at the
genetic level. This failure highlighted “the complex
genetic architecture of intelligence”. However, somewhat
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4. 4 R. Colom
surprisingly, using the UK Biobank (N = 112151)
Davies et al. (2016) have reported one successful
attempt after applying genome-wide complex trait
analysis (GCTA-GREML). They found genome-wide
significant SNP-based associations in twenty genomic
regions along with significant gene-based findings
in forty-six regions. Nevertheless, as underscored in
Danielle Posthuma presentation, novel approaches,
based on uncovering the specific paths going from the
genome to behavior, are strongly required.
Questions Answers
I made two questions to each participant on this
International Seminar. Of course, these are questions
that interested me after listening to their talks and
maybe they do not capture further issues that might
be also relevant to the field. I will divide this section
into short subsections devoted to each presentation.
Afterwards, I will describe their answer to a common
question.
Ma Ángeles Quiroga
Taking into account that she registered video game
performance across several years, observing that vol-
unteers required progressively less time for completing
the same video game, my first question was: is there
some sort of Flynn effect also affecting video game per-
formance? The answer was straightforward (and pre-
dictable): not sure. More data are required for providing
reliable responses.
The second question was based on the demonstrated
fact that playing video games requires intelligence (in
the classic sense), as shown in the thought-provoking
report by Quiroga et al. (2015): is it possible to enhance
intelligence (the general factor, to be more specific) just
playing a lot on a regular basis? The answer was ‘prob-
ably not’: maybe in the long run, playing video games
of diverse kinds may promote the abilities and skills
belonging to the intelligence realm, but the available
evidence does not support this expectation.
Douglas K. Detterman
The main thesis of his presentation was this: teachers
account for 1% –7% of the total variance in educa-
tion, whereas the students’ intellectual level accounts
for much of the 90% of variance associated with
learning outcomes. Therefore, problems encountered
for improving education might be explained by the
(wrong) focus on schools and teachers instead on the
(really) important variable (the student).
However, if this is the case, it is difficult to under-
stand why different countries with the same average
intelligence level show large performance differences
on international assessments of school skills, such as
PISA. Finland and Spain are good examples. Both
countries show exactly the same average IQ level (97)
(Lynn Vanhanen, 2012), but the first shows a PISA
score of 523 while Spain shows a PISA score of 477 (the
OCDE average score is 500).
The school system may have a great impact on devel-
oping countries, as demonstrated by the excellent
study by Flores-Mendoza et al. (2015): the socioeco-
nomic status (SES) of schools exerted a large impact on
PISA scores. The effect of SES over school outcomes
was higher for schools than for students. However,
these sharp differences hardly apply to developed
countries such as Finland and Spain. Detterman did
not provide satisfactory answers to the core question
because he thought there might be hidden relevant
information.
My second question was straightforward: can we
replace teachers by computerized courses and, there-
fore, save a big piece of public money? Now the answer
was quick: yes, we can. No matter how you teach,
because the relevant variable is the student. We must
find novel ways for dealing with this reality.
Stuart Ritchie
His presentation focused on cognitive and physical
decline in old age using a short-term longitudinal
dataset from the Lothian Birth Cohorts. An interesting
result was this: there is no a generalized decline. Some
individuals do show cognitive but not physical decline
(and vice versa). This is certainly shocking because it
suggests some sort of dissociation between body and
mind.
Nevertheless, my first question was: why the classic
distinction between fluid and crystallized intelligence
is neglected here? It is widely recognized that these
two cognitive abilities show distinguishable trajec-
tories across the life span (Hunt, 2011a). Talking about
cognitive decline may hide different paths for these
abilities, in the same sense as the mind-body dissocia-
tion noted above. This was Ritchie answer: only a short
period of time was considered and, therefore, the evi-
dence is clearly insufficient to detect those probable
different paths for these cognitive abilities.
The second issue was also highly relevant: it is not
possible to predict change based on the pretest mea-
sures (baseline). This was the rationale for my next
question: are random effects responsible for this pre-
diction failure? Jensen (1997) and Pinker (2002) inspired
this question. Both seem to converge on the sugges-
tion that non-shared variance can be attributed to con-
tinuously changing random effects. Ritchie accepted
this possibility: you cannot extract relevant signals
from noise.
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5. Advances in Intelligence Research 5
Danielle Posthuma
As said above, the hunt for genes accounting for the
heritability estimates of intelligence has been disap-
pointing. Posthuma acknowledged the fact, providing
interesting examples from his own research group.
My first question was related with TBC view: relating
the genome with behavior skipping the brain sounds
like an inefficient research strategy, to say the least.
Therefore, endophenotypes such as the brain must be
incorporated into the big picture for a proper under-
standing of the genes-behavior relationships. Posthuma
agreed with this view.
The second question was not a real question.
Researchers acknowledge the fact that the effect of
individual genes must be minuscule. This may help
to explain the repeated failure underscored before.
But perhaps there is also some sort of Butterfly effect:
meager genetic differences from the outset (from a
developmental perspective) can make a huge differ-
ence at latter developmental stages. This perspective
fits the Dickens-Flynn model, which underscores
that minor genetic advantages at the individual level
might allow capturing relevant environmental factors
for intelligence development in the long run (Flynn,
2007). This possibility must be investigated using a
developmental perspective, as recently suggested by
Johnson (2013).
Emiliano Santarnecchi
His presentation was devoted to the neuroscience of
intelligence, showing findings derived from functional
data mainly obtained at rest. The brain shows sponta-
neous activity and there are large individual differences
in how regions across the cortex are connected. Thus,
for instance, high IQ individuals are more resilient to
random and targeted attacks to their networks than low
IQ individuals (Santarnecchi, Rossi, Rossi, 2015).
He also presented evidence related with the problem of
how can we enhance brain power using transcranial
magnetic stimulation. There is still a lot of work
remaining, but available results are encouraging.
My two questions were somewhat related. I firstly
asked how the presented functional evidence could be
integrated with the available structural results. Based
on the meta-analysis described above (Basten et al.,
2015) that revealed non-overlapping findings for struc-
tural and functional correlates of intelligence differ-
ences, I asked for probable ways of combining and
making sense of both lines of evidence. However, the
response was far from straightforward. Again, more
research is required.
The second question derived from the observation
that connectivity at rest shows greater reliability than
task-evoked connectivity. This suggests that it may be
more likely to find commonalities between the former
connectivity and structural connections computed after
extracting signals from diffusion data (Pineda-Pardo
et al., 2016). Santarnecchi agreed with this perspective,
but he also recognized that the suggested multimodal
approach would be highly complex. We already know
this is the case, but we are also making progress in
the right direction (Chamberland, Bernier, Fortin,
Whittingstall, Descoteaux, 2015).
Adam Chuderski
Chuderski’s presentation was devoted to the problem
of how individual differences in brain waves, espe-
cially their coupling, may account for observed intelli-
gence differences (Chuderski Andrelczyk, 2015). The
analysis of Theta/Gamma couplings provides findings
supporting the view that larger numbers of gamma
cycles within a given theta cycle is related with higher
intelligence levels. My first question asked about the
possibility of increasing (undesirable) noise within the
system at higher levels of gamma activity. However,
the answer rejected the issue relying on the available
computer simulations. Nevertheless, it remains to be
seen if these simulations properly capture the realities
of the human brain.
The second question was related with what we
know about complex systems functioning. We may be
tempted to experimentally modify the way brain waves
are coupled in, say, low IQ individuals showing less
gamma cycles within a given theta cycle. Modifying
gamma activity is possible using neurofeedback (Keizer,
Verschoor, Verment, Hommel, 2010), and, therefore,
the goal seems doable. However, as noted before, the
brain is a complex system and, therefore, it is far from
clear how modifying one single factor may stimulate a
chain reaction with unclear consequences. No straight-
forward response was provided.
Norbert Jausovec
In this final presentation of the seminar, Jausovec
described three studies devoted to the exciting pos-
sibility of increasing intelligence performance using
cognitive and brain stimulation. My two questions
had a methodological flavor. Firstly, I focused on the
sex variable, asking about the relevance of control-
ling for the acknowledged average sex difference in
brain volume when studying brain connectivity. There
are reports showing sex differences in brain connec-
tivity (Ingalhalikar et al., 2014), but the observation
vanishes when individual differences in brain volumes
are controlled (Hanggi, Fovenyi, Liem, Meyer, Jancke,
2014). Therefore, we must be very careful when
studying men and women from a neuroscience per-
spective (Escorial et al., 2015).
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6. 6 R. Colom
The second question derived from the discussion
related with the source of the remarkable individual
differences in working memory capacity that may sup-
port intelligence differences. As discussed by Bays
(2015) available evidence fits with the perspective that
working memory performance is influenced in a con-
tinuous way by increased memory load. Noise in neural
activity degrades the stability/reliability of internal
representations for further processing (Colom, Abad,
Quiroga, Shih, Flores-Mendoza, 2008; Martínez et al.,
2011), which contrasts with the view that working
memory capacity is limited by a fixed number of slots
(Luck Vogel, 2013). Jausovec was silent regarding
this debate.
What should we do next?
As advanced at the beginning of this section, the
final question was common to all presenters:
“What would you propose if Bill Gates offers you a
billion (€ or $)?”
All shared the idea of using the money for financing
top scientists worldwide for finding answers to the
next question:
“Why are some people smarter than others?”
Detterman led this common perspective. In some
sense, the main goal is to replicate previous scientific
efforts such as the Manhattan or the Apollo Projects.
Having the best minds focused on solving a single,
albeit complex, problem seems an efficient research
strategy for a quick advance in our current knowledge
related with the above key question.
I also adhere to this use of the money provided by
Gates. Indeed, in the editorial note published two
years ago (Colom, 2014a) I made a metaphoric com-
parison with the Apollo Program: “we may wonder if we
can make the voyage from the earth to the brain to increase
our understanding of what it means to be more or less intel-
ligent”. The first director of NASA’s Manned Spacecraft
Center (Robert R. Gilruth) acknowledged the fabulous
challenge involved in terms of people and technology,
but he also was strongly prone to pursue the goal all
the way. So I am.
In the farewell editorial note published by
D. K. Detterman after being editor of the journal
‘Intelligence’ for four decades he wrote: “from very early,
I was convinced that intelligence was the most important
thing of all to understand, more important than the origin of
the universe, more important than climate change, more impor-
tant than curing cancer, more important than anything else.
That is because human intelligence is our major adaptive
function and only by optimizing it will we be able to save
ourselves and other living things from ultimate destruction.
It is as simple as that”.
We need shared efforts for enhancing our knowledge.
The XXI Century will see increased numbers of scientists
sharing their resources devoted to key research chal-
lenges. The reconciliation between humans and nature
can only be achieved making a wise use of our main psy-
chological faculty. This may be not an easy target, but
I strongly think it is vital, literally.
References
Adolphs R. (2015). The unsolved problems of neuroscience.
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Barbey A. K., Colom R., Solomon J., Krueger F., Forbes C.,
Grafman J. (2012). An integrative architecture for general
intelligence and executive function revealed by lesion
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