Final project for Neuroscience class. This presentation explains the working of a Rubik's Cube puzzle through an understanding of the neurobiology behind it.
By Understanding how we learn we can increase the ability to learn . Our potential is tremendously great. Neuroscientists have been making profound advances in understanding the two different types of networks that the brain switches between—highly attentive states and more relaxed default mode networks.
We’ll call the thinking processes related to these networks the focused mode and diffuse mode, respectively—these modes are highly important for learning.
By Understanding how we learn we can increase the ability to learn . Our potential is tremendously great. Neuroscientists have been making profound advances in understanding the two different types of networks that the brain switches between—highly attentive states and more relaxed default mode networks.
We’ll call the thinking processes related to these networks the focused mode and diffuse mode, respectively—these modes are highly important for learning.
A comprehensive outline of human cognitive mechanismKeshabH1
The neural mechanism of observation is an important and interesting subject. Everybody wonders how electrical activities in the brain translate into a colorful view of the world. From a scientific point of view, knowledge of the mechanism is important for correct interpretation of correct interpretation of findings collected through observation. The cognitive mechanism has been investigated in great detail. Clinical evidence, studies on animals and newer investigative Advances in investigative techniques like functional imaging have enriched the understanding of different processes involved in cognition.
However, it is still difficult to explain why or how the activity in neurons translates into a visual experience which is felt. So far, no understanding has been able to reduce conscious experience to neural activities (hard problem of consciousness). The term ‘explanatory gap’ was introduced by philosopher Joseph Levine in 1983 to denote this inability to establish a direct causal correlation between the brain and the mind1. The explanatory gap remains a big obstacle in the way of understanding the functioning of the brain. A direct causal relationship between visual processing and visual perception, to explain how the former gives rise to the latter, cannot be made without bridging the explanatory gap.
This review article brings all the processes involved in cognition together and relates them with one another to form a continues series of events from neural stimulation to phenomenal experience. It shows how the current knowledge can be used to explain the neural basis of conscious experience, which many consider inexplicable. This work is not an exhaustive review of available literature, which includes the details of individual cognitive processes. It selects only those studies which are required to relate the different processes.
This work explains the following important subjects:
Neural basis of memory
Neural basis of consciousness
Neural basis of intelligence
Neural basis of perception
Neural basis of visualization in three-dimensional space
Growth Mindset & Connection to NeuroscienceShivekNarang
Growth Mindset: The belief that intelligence can be developed
A belief, or an implicit theory, about our capacity to learn and grow
Not primarily about gaining knowledge, but instead changing our basic level of intelligence or ability
Supported by contemporary neuroscience, which has shown that through learning the brain can develop and strengthen neural connections (this is called brain plasticity)
A comprehensive outline of human cognitive mechanismKeshabH1
The neural mechanism of observation is an important and interesting subject. Everybody wonders how electrical activities in the brain translate into a colorful view of the world. From a scientific point of view, knowledge of the mechanism is important for correct interpretation of correct interpretation of findings collected through observation. The cognitive mechanism has been investigated in great detail. Clinical evidence, studies on animals and newer investigative Advances in investigative techniques like functional imaging have enriched the understanding of different processes involved in cognition.
However, it is still difficult to explain why or how the activity in neurons translates into a visual experience which is felt. So far, no understanding has been able to reduce conscious experience to neural activities (hard problem of consciousness). The term ‘explanatory gap’ was introduced by philosopher Joseph Levine in 1983 to denote this inability to establish a direct causal correlation between the brain and the mind1. The explanatory gap remains a big obstacle in the way of understanding the functioning of the brain. A direct causal relationship between visual processing and visual perception, to explain how the former gives rise to the latter, cannot be made without bridging the explanatory gap.
This review article brings all the processes involved in cognition together and relates them with one another to form a continues series of events from neural stimulation to phenomenal experience. It shows how the current knowledge can be used to explain the neural basis of conscious experience, which many consider inexplicable. This work is not an exhaustive review of available literature, which includes the details of individual cognitive processes. It selects only those studies which are required to relate the different processes.
This work explains the following important subjects:
Neural basis of memory
Neural basis of consciousness
Neural basis of intelligence
Neural basis of perception
Neural basis of visualization in three-dimensional space
Growth Mindset & Connection to NeuroscienceShivekNarang
Growth Mindset: The belief that intelligence can be developed
A belief, or an implicit theory, about our capacity to learn and grow
Not primarily about gaining knowledge, but instead changing our basic level of intelligence or ability
Supported by contemporary neuroscience, which has shown that through learning the brain can develop and strengthen neural connections (this is called brain plasticity)
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
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).
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
2. INTRODUCTION
• Solving a Rubik’s Cube can appear complicated or impossible
• To an untrained observer even magical
• Essentially it is an example of observing and adjusting
• Using neuroscience to explain could get quite dense but in the
interest of time we will focus on 4 simplified steps
3. THE 4 STEPS
1. Look - Use the Visual Cortex to process information we receive from our Retinas
2. Compare - Utilize the Inferior Temporal Cortex to detect recognizable and
expected patterns of color
3. Reflect - Information is processed from the Neocortex through the Hippocampus in
the form of declarative/explicit memories to determine how the cube is supposed
to look
4. Adjust – Activate implicit memory to engage in a repetitious action to change the
cube’s structure
• Access the Peripheral Nervous System to activate the Median and Radial Nerves to
manipulate the Rubik’s Cube creating a new pattern.
• This process is repeated until the desired outcome is reached
4. SOLVING A
RUBIK’S CUBE
- EXAMPLE
• Here is a 2 min video of a
student working a Rubik’s
Cube
• Notice the delay in the time
spent observing the cube
• This time appears SLOW
and measured
• By contrast, when the
student accesses implicit
memory to adjust the cube,
the actions appear more
deliberate and FASTER
• Click on the video to view
5. STEP 1: LOOK
• Working a Rubik’s cube starts with the use of sight
• Our Retinas receive visual stimulation through the activation of the cones
and rods
• While Rods allow us to perceive the overall shape of the cube and the
delineation between each of the cells within the cube they play a limited role
in this process
• Since our primary concern here is the colors of each cell, it is the cones
within the retina that we are most reliant on
• Since cones are more effective in lighted environments, working a standard
Rubik’s Cube in the dark is impossible
• Special Rubik’s Cubes, called Braillecubes, have been created to allow blind
and visually impaired persons to experience the joy (or frustration) of
working this puzzle
6. STEP 1: LOOK (CONTINUED)
• The wavelengths of light perceived by the cones are then
transferred over the visual pathway to the Visual Cortex
• The Visual Cortex interprets each of these wavelengths into
what we understand as colors
• The higher the wavelength the more “Red” the image will be
interpreted
• The lower the wavelength the more “Blue” the image will be
interpreted
7. STEP 2: COMPARE
• As visual stimulus is sent across the visual pathway it is
processed by the Inferior Temporal Cortex
• Neurons within the ITC are excited whenever a recognized
pattern occurs
• “Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object
Recognition Performance” by Najib J. Majaj, Ha Hong, Ethan A. Solomon, and James J. DiCarlo in Journal of Neuroscience.
Published online September 30, 2015
• This pattern is processed through the Hippocampus to evaluate
how it compares to known patterns and determine where it fits
in the order of operation for Solving a Rubik’s Cube
8. STEP 3: REFLECT
• As the information about the current observable pattern from the ITC
is being processed by the Hippocampus it is compared against
known color patterns stored in the Neocortex
• This form of memory is referred to as declarative or explicit memory
• Each time this pattern is recalled it is strengthened and can be
modified, if needed, to record various nuances
• Once accessed the memory provides reference for where the pattern
fits into the order of operation for Solving a Rubik’s Cube and
references the process for moving to the next expected pattern
9. STEP 4: ADJUST
• Once the current order of operation and the procedure for reaching
the next event has been determined the process is turned over to
implicit memory
• Implicit memory, in this case procedural memory is utilized to
activate the Peripheral Nervous System to run a complex routine
necessary to manipulate the cube to reach the next step in the
solving process
• While it is possible to use explicit memory to run each of these
change routines, the complexity of the routines makes it advisable to
use muscle memory to speed up the tasks
10. CONCLUSION
Neuroscience is everywhere if you look for it. The nervous system and all its interconnectivity
allow for the diversity of actions that we call living. While my purpose in taking this class was personal
fascination and self-growth, I have discovered that I am developing a greater interest and more
questions about specific areas of the CNS. Even the simple act of selecting a topic for this project was
complicated by the need to settle on a singular topic.
One specific take away that I have come to in the class is how amazing the human condition is.
I didn’t select this project because I felt that vision, motor movement, or any of the various forms of
memory were the most fascinating. Nor am I particularly intrigued by the occipital or temporal Lobes; or
even any of the various cortexes. My fascination is how each of the various aspects of our central and
peripheral nervous systems are able to interact so well.
Each of the concepts discussed in this presentation are essential in the completion of the
puzzle but they only scratch the surface of what is actually taking place in the nervous system.
Consideration must also be given for the motivation of the subject completing the task. The video
provided presents a subject completing the puzzle in an attempt to beat his brother in the completing
the task the quickest. Therefore without the neurotransmitters present, such as the serotonin produced
having fun with his family and the epinephrine produced trying to win the race, the task would likely not
have even been attempted.