This talk was given by Richard Gault on 18/11/15 at Hilton, Templepatrick, at the BAA training day on Tinnitus. This talk outlines a summary of some of the objective correlates of tinnitus found along the auditory system; from cochlea to cortex.
Spike sorting: What is it? Why do we need it? Where does it come from? How is...NeuroMat
This document provides an overview of spike sorting, including what it is, why it is needed, the history of the field, and how it is done. Spike sorting involves using features like spike amplitude, timing, and shape across multiple recording channels to classify which neuron each recorded action potential came from. It originated from neurophysiologists sorting spikes by eye but now uses automated algorithms. Common approaches include template matching, dimensionality reduction, clustering algorithms like k-means, and Gaussian mixture models.
This document is a list of 2010 Ph.D. graduates from Duke University including their name, dissertation title, department, and advisor. It congratulates over 80 graduates and provides brief information about each graduate's dissertation work and research area.
This document is a list of 2010 Ph.D. graduates from Duke University including their name, dissertation title, department, and advisor. It congratulates over 60 graduates and provides a brief description of each graduate's dissertation research area and advisor.
The document discusses infrared spectroscopy and its importance in drug analysis. It covers the following key points in 3 sentences:
1) Infrared spectroscopy analyzes the interaction of electromagnetic radiation with matter and is useful for identifying functional groups and determining drug structure. 2) The technique is based on measuring the vibrational and rotational energies of molecules which causes absorption of specific infrared wavelengths. 3) Infrared spectroscopy has various applications in pharmacy, biotechnology and genetic engineering by allowing identification, quantification and study of interactions of drug molecules.
The document describes an interactive art installation created by Heather Wylie and Maxim Safioulline that uses brainwave data to manipulate light and sound in a small enclosed space. Participants wear an EEG device that measures their brain activity, which is then translated into colors and sounds projected in the space. The installation aims to visualize brain activity and emphasize the feedback loop between a person's mind and their surrounding environment.
This document describes a new technique for wide-field background-free fluorescence imaging in vivo using magnetic modulation of fluorescent nanodiamond emission. Fluorescent nanodiamonds are promising probes for in vivo imaging but are limited by autofluorescence. The technique uses a rotating magnetic field to selectively modulate nanodiamond fluorescence, which is then detected using phase-sensitive lock-in detection to improve signal-to-background ratio up to 100-fold. This overcomes autofluorescence and improves nanodiamond imaging capabilities for in vivo applications.
This talk was given by Richard Gault on 18/11/15 at Hilton, Templepatrick, at the BAA training day on Tinnitus. This talk outlines a summary of some of the objective correlates of tinnitus found along the auditory system; from cochlea to cortex.
Spike sorting: What is it? Why do we need it? Where does it come from? How is...NeuroMat
This document provides an overview of spike sorting, including what it is, why it is needed, the history of the field, and how it is done. Spike sorting involves using features like spike amplitude, timing, and shape across multiple recording channels to classify which neuron each recorded action potential came from. It originated from neurophysiologists sorting spikes by eye but now uses automated algorithms. Common approaches include template matching, dimensionality reduction, clustering algorithms like k-means, and Gaussian mixture models.
This document is a list of 2010 Ph.D. graduates from Duke University including their name, dissertation title, department, and advisor. It congratulates over 80 graduates and provides brief information about each graduate's dissertation work and research area.
This document is a list of 2010 Ph.D. graduates from Duke University including their name, dissertation title, department, and advisor. It congratulates over 60 graduates and provides a brief description of each graduate's dissertation research area and advisor.
The document discusses infrared spectroscopy and its importance in drug analysis. It covers the following key points in 3 sentences:
1) Infrared spectroscopy analyzes the interaction of electromagnetic radiation with matter and is useful for identifying functional groups and determining drug structure. 2) The technique is based on measuring the vibrational and rotational energies of molecules which causes absorption of specific infrared wavelengths. 3) Infrared spectroscopy has various applications in pharmacy, biotechnology and genetic engineering by allowing identification, quantification and study of interactions of drug molecules.
The document describes an interactive art installation created by Heather Wylie and Maxim Safioulline that uses brainwave data to manipulate light and sound in a small enclosed space. Participants wear an EEG device that measures their brain activity, which is then translated into colors and sounds projected in the space. The installation aims to visualize brain activity and emphasize the feedback loop between a person's mind and their surrounding environment.
This document describes a new technique for wide-field background-free fluorescence imaging in vivo using magnetic modulation of fluorescent nanodiamond emission. Fluorescent nanodiamonds are promising probes for in vivo imaging but are limited by autofluorescence. The technique uses a rotating magnetic field to selectively modulate nanodiamond fluorescence, which is then detected using phase-sensitive lock-in detection to improve signal-to-background ratio up to 100-fold. This overcomes autofluorescence and improves nanodiamond imaging capabilities for in vivo applications.
1. Neuroimaging studies have identified a "social brain network" involved in tasks like facial perception and assigning mental states to others that does not function normally in people with autism.
2. Studies have shown abnormal activation in regions like the amygdala in response to emotional stimuli like fearful faces in autism.
3. Neuroimaging may help explain superior skills in local processing domains as well as compensation for social deficits in autism. Larger genetic and longitudinal studies are needed to better understand causes and development of autism.
HEARING IN NUMBERS: VIRTUAL SOUND AS NEXT NATUREPhylisj
Hearing in Numbers. Virtual Sound as Next Nature.. Presentation for 'Balance-Unbalance' March 27, 2015. Full references and transcript available. This presentation is based on experiments within The Sonic Lab, a virtual world project that involved sound design on a multi-layer sim within Second Life for teaching skills and concepts in listening, design and sound/music history and culture as they converge across time and space.
This document presents a technique called K-factor image deshadowing that can improve the localization accuracy of single fluorescent particles in stochastic super-resolution fluorescence microscopy. K-factor decomposes an image into a nonlinear set of contrast-ordered images whose product reassembles the original. Applying K-factor to raw fluorescence data prior to localization can improve localization precision by up to 85% compared to single fitting, enabling the localization of overlapping particles and faster data collection. Implementing this on experimental cellular data yielded a 37% improvement in resolution for the same acquisition time, or a 42% decrease in time needed for the same resolution.
This document discusses localization of language regions in the brain using electrocorticography (ECoG). It compares using a natural conversation versus a directed language task to activate language areas. The hypothesis that natural conversation could localize the same language regions as the task was not supported, as different electrode activations were found between the two methods. However, natural conversation did activate additional regions in the parietal grid. The technique requires more refinement before clinical use but may help refine electrocortical stimulation mapping.
Improved two-photon imaging of living neurons in brain tissue through tempora...julian choy
This document describes a study that optimized two-photon imaging of living neurons in brain tissue by temporally gating the incident laser to reduce photon flux while maximizing fluorescence signal. The study found that gating the laser at the sampling frequency compromised cell viability despite high fluorescence. An optimum gating frequency range was identified that maintained cell viability while preserving fluorescence levels in two-photon images. Cell viability was monitored by measuring changes in membrane input resistance during whole-cell patch recording of neurons.
This document describes a depth-resolved near-infrared oximeter device being developed to diagnose necrotizing enterocolitis (NEC) in neonates. NEC is a costly disease with high mortality that currently lacks methods for early diagnosis. The device uses near-infrared spectroscopy to measure tissue oxygen saturation levels at different depths in the intestines. It aims to detect NEC at an earlier stage by identifying lower oxygen levels indicative of tissue ischemia. The document outlines the clinical motivation and need for the device, its design which uses LEDs and detectors to obtain depth-resolved measurements, simulation and testing methods, and future implications for improving NEC diagnosis and outcomes.
Using High-Density Electrophysiological Recordings to Investigate Neural Mech...InsideScientific
In this webinar, Dr. Michael Long from the NYU Grossman School of Medicine and Dr. Kari Hoffman from Vanderbilt University present their work investigating the neural mechanisms of learning, memory, and behavior using high-density silicon probes from Diagnostic Biochips in small and large animals.
The ability to record network activity using emerging high-density electrophysiological arrays has revolutionized understanding of the link between brain function and behavior. In the first portion of the webinar, Dr. Long discusses how his laboratory has used custom-built (and now standard) probes to investigate the neural mechanisms of vocal production in two model systems: the zebra finch (a songbird) and a newly characterized Costa Rican singing mouse. In ongoing work, they have begun to apply these approaches to the study of human speech. His team has collaborated with Diagnostic Biochips and the University of Iowa Department of Neurosurgery to develop a recording electrode for measuring population activity in the human brain. Through these combined efforts, they have advanced understanding of the neural mechanisms of vocal production that can inform therapeutic approaches intended to combat a range of communication disorders.
In the second portion of the webinar, Dr. Hoffman introduces work in her lab investigating the neural mechanisms of learning and memory in freely-behaving macaques. This includes recording neural signatures from animals in a rich environment to examine how experiences shape new learning. Using spatially resolved units, distinct waveforms, and interactions with local currents and fields, they hope to identify the role of functional cell types in network states and network plasticity. Dr. Hoffman also describes the features and current limitations of the probe, and presents preliminary wireless recording results from her lab. She concludes with a discussion of factors that may make it more or less suitable for other users, and best practices for generating high quality data.
The document discusses the relationship between neurodiversity, specifically autism, and software development. It provides empirical evidence that autism occurs more frequently in families of engineers and scientists and that mothers of autistic children are more likely to work in technical fields. It explores historical studies of programmers that found traits common in autistic individuals, such as a preference for hierarchical decomposition and opportunistic problem-solving approaches. The document examines cognitive aspects of programming, like chunking, beacons, and schema, that play to the strengths of autistic thinking.
I gave this talk at a conference for young scientists in New Zealand, "Running Hot": www.runninghot.org.nz. It was a great meeting. My slides are mostly images, so may not make too much sense.
Abstract follows: Impressed with the telephone, Arthur Mee predicted in 1898 that if videoconferencing could be developed, ‘earth will be in truth a paradise.’ Since his time, rapid technological change, in particular in telecommunications, has transformed the scientific playing field in ways that while not entirely paradisical, certainly have profound implications for New Zealand scientists. The Internet has abolished distance, as Mee also predicted–a New Zealand scientist can participate as fully in online discussions as anyone else, and their blog can be every bit as influential. Exponential improvements in networks, computing, sensors, and data storage are also profoundly transforming the practice of science in many disciplines. But those seeking to leverage these advances become painfully familiar with the ‘dirty underbelly’ of exponentials: if you don’t constantly innovate, you can fall behind exponentially fast. Such considerations pose big challenges for the individual scientist and for institutions, for researchers and educators, and for research funders. Some of the old ways of researching and educating need to be preserved, others need to be replaced to take advantage of new methods. But what should we preserve? What should we seek to change?
A monkey model of auditory scene analysisPradeepD32
My work impacts half the world who develop age-related hearing loss with difficulty understanding speech in noise. To understand how the brain solves the cocktail party problem, I need to record from neurons suitable only in animals. Monkeys are best suited for this given our similar auditory brains. I use sounds without semantics and employ fMRI to show that monkeys use similar brain regions as humans to separate overlapping sounds. This study is the first to show such evidence in any animal. Now, I can record from monkey neurons and generalize the results to humans!
Second Annual Chandler Science Pub Quiz, Ig Nobel EditionEileen M. Kane
Chandler Science Cafe at Gangplank Hack Night, Second Annual Science Pub Quiz. Do you watch Nova? Listen to Science Friday? Our hour-long quiz is about the 2014 Ig Nobel Awards.
This article reports the detection of two gas clouds with no discernible elements heavier than hydrogen, representing the lowest heavy-element abundance observed in the early universe. One cloud at z=3.4 exhibits a deuterium abundance matching predictions from Big Bang nucleosynthesis, providing direct evidence for the standard cosmological model. The sparse metal enrichment of these clouds implies an inhomogeneous process for transporting heavy elements from galaxies into the surrounding intergalactic medium.
The document discusses brain imaging technologies such as MRI, fMRI, and emerging techniques. It describes how these methods can be used to image individual neurons, neuronal networks, and the whole brain. Examples are given of how fMRI has been used to study basic brain functions and diagnose neurological disorders. The document also suggests ways for non-experts to access and analyze brain imaging data through open access repositories and analysis tools.
This curriculum vitae outlines the educational and professional experience of Eugenia Solano-Castiella. She earned a PhD in neurophysics from the Max Planck Institute for Human Cognitive and Brain Sciences in 2011, focusing her dissertation on anatomical segmentation and parcellation of the human amygdala using magnetic resonance imaging. Her research has involved segmenting brain structures using diffusion tensor imaging and functional MRI at both 3 and 7 Tesla. She has over 10 publications in neuroimaging journals and has presented her work at numerous international conferences.
This curriculum vitae summarizes the academic and employment history, education, research activities, and publications of Joshua Harris Singer. Some key details include:
- Singer is currently an Associate Professor in the Department of Biology at the University of Maryland. He was previously an Assistant Professor at Northwestern University and UMD.
- He received a ScB in Biology from Brown University and a PhD in Physiology from the University of Washington.
- His research focuses on synaptic transmission and retinal circuit function, as evidenced by over 25 peer-reviewed publications on these topics. He has also given numerous invited talks on his research.
This document summarizes research on tone deafness, a disorder characterized by an inability to perceive changes in musical pitch. The key points are:
1. Neuroimaging and patient studies suggest tone deafness involves abnormal pitch processing in secondary auditory cortex and distributed networks beyond the auditory cortex.
2. Research found tone deaf individuals have difficulties perceiving pitch direction and changes in pitch.
3. Studies of brain structure found decreased white matter density and increased cortical thickness in right frontal and auditory areas in tone deaf individuals, suggesting a genetic basis involving abnormal cortical development and connectivity.
This document discusses explanatory unification in consciousness research. It explains that neural synchrony, especially gamma oscillations, provides a mechanistic and representational explanation that unifies theories across different cognitive phenomena. Neural synchrony is shown to resolve competition between stimuli and enable long-distance communication in the brain. The document reviews studies that have linked neural synchrony to visual search, binocular rivalry, attentional blink, backward masking, blindsight, dichotic listening tasks, and the rubber hand illusion. It concludes that neural synchrony currently acts as a key unifying explanation in consciousness research.
Awe-Inducing virtual environments have been programmed using Unity3D, and a related device concept has been designed; its name is DROP/Direct Resource Of Positivity
Predicted impairment and handicap from exposure to steady state broad-band in...Alexander Decker
This academic article summarizes research on predicting impairment and handicap from exposure to steady-state broad-band industrial noise. The researchers used empirical formulas to predict monaural impairment and hearing handicap values for different exposure levels. They found that both impairment and handicap increase with exposure level, supporting the equal energy hypothesis. The values of hearing handicap were always higher than impairment values.
1. Neuroimaging studies have identified a "social brain network" involved in tasks like facial perception and assigning mental states to others that does not function normally in people with autism.
2. Studies have shown abnormal activation in regions like the amygdala in response to emotional stimuli like fearful faces in autism.
3. Neuroimaging may help explain superior skills in local processing domains as well as compensation for social deficits in autism. Larger genetic and longitudinal studies are needed to better understand causes and development of autism.
HEARING IN NUMBERS: VIRTUAL SOUND AS NEXT NATUREPhylisj
Hearing in Numbers. Virtual Sound as Next Nature.. Presentation for 'Balance-Unbalance' March 27, 2015. Full references and transcript available. This presentation is based on experiments within The Sonic Lab, a virtual world project that involved sound design on a multi-layer sim within Second Life for teaching skills and concepts in listening, design and sound/music history and culture as they converge across time and space.
This document presents a technique called K-factor image deshadowing that can improve the localization accuracy of single fluorescent particles in stochastic super-resolution fluorescence microscopy. K-factor decomposes an image into a nonlinear set of contrast-ordered images whose product reassembles the original. Applying K-factor to raw fluorescence data prior to localization can improve localization precision by up to 85% compared to single fitting, enabling the localization of overlapping particles and faster data collection. Implementing this on experimental cellular data yielded a 37% improvement in resolution for the same acquisition time, or a 42% decrease in time needed for the same resolution.
This document discusses localization of language regions in the brain using electrocorticography (ECoG). It compares using a natural conversation versus a directed language task to activate language areas. The hypothesis that natural conversation could localize the same language regions as the task was not supported, as different electrode activations were found between the two methods. However, natural conversation did activate additional regions in the parietal grid. The technique requires more refinement before clinical use but may help refine electrocortical stimulation mapping.
Improved two-photon imaging of living neurons in brain tissue through tempora...julian choy
This document describes a study that optimized two-photon imaging of living neurons in brain tissue by temporally gating the incident laser to reduce photon flux while maximizing fluorescence signal. The study found that gating the laser at the sampling frequency compromised cell viability despite high fluorescence. An optimum gating frequency range was identified that maintained cell viability while preserving fluorescence levels in two-photon images. Cell viability was monitored by measuring changes in membrane input resistance during whole-cell patch recording of neurons.
This document describes a depth-resolved near-infrared oximeter device being developed to diagnose necrotizing enterocolitis (NEC) in neonates. NEC is a costly disease with high mortality that currently lacks methods for early diagnosis. The device uses near-infrared spectroscopy to measure tissue oxygen saturation levels at different depths in the intestines. It aims to detect NEC at an earlier stage by identifying lower oxygen levels indicative of tissue ischemia. The document outlines the clinical motivation and need for the device, its design which uses LEDs and detectors to obtain depth-resolved measurements, simulation and testing methods, and future implications for improving NEC diagnosis and outcomes.
Using High-Density Electrophysiological Recordings to Investigate Neural Mech...InsideScientific
In this webinar, Dr. Michael Long from the NYU Grossman School of Medicine and Dr. Kari Hoffman from Vanderbilt University present their work investigating the neural mechanisms of learning, memory, and behavior using high-density silicon probes from Diagnostic Biochips in small and large animals.
The ability to record network activity using emerging high-density electrophysiological arrays has revolutionized understanding of the link between brain function and behavior. In the first portion of the webinar, Dr. Long discusses how his laboratory has used custom-built (and now standard) probes to investigate the neural mechanisms of vocal production in two model systems: the zebra finch (a songbird) and a newly characterized Costa Rican singing mouse. In ongoing work, they have begun to apply these approaches to the study of human speech. His team has collaborated with Diagnostic Biochips and the University of Iowa Department of Neurosurgery to develop a recording electrode for measuring population activity in the human brain. Through these combined efforts, they have advanced understanding of the neural mechanisms of vocal production that can inform therapeutic approaches intended to combat a range of communication disorders.
In the second portion of the webinar, Dr. Hoffman introduces work in her lab investigating the neural mechanisms of learning and memory in freely-behaving macaques. This includes recording neural signatures from animals in a rich environment to examine how experiences shape new learning. Using spatially resolved units, distinct waveforms, and interactions with local currents and fields, they hope to identify the role of functional cell types in network states and network plasticity. Dr. Hoffman also describes the features and current limitations of the probe, and presents preliminary wireless recording results from her lab. She concludes with a discussion of factors that may make it more or less suitable for other users, and best practices for generating high quality data.
The document discusses the relationship between neurodiversity, specifically autism, and software development. It provides empirical evidence that autism occurs more frequently in families of engineers and scientists and that mothers of autistic children are more likely to work in technical fields. It explores historical studies of programmers that found traits common in autistic individuals, such as a preference for hierarchical decomposition and opportunistic problem-solving approaches. The document examines cognitive aspects of programming, like chunking, beacons, and schema, that play to the strengths of autistic thinking.
I gave this talk at a conference for young scientists in New Zealand, "Running Hot": www.runninghot.org.nz. It was a great meeting. My slides are mostly images, so may not make too much sense.
Abstract follows: Impressed with the telephone, Arthur Mee predicted in 1898 that if videoconferencing could be developed, ‘earth will be in truth a paradise.’ Since his time, rapid technological change, in particular in telecommunications, has transformed the scientific playing field in ways that while not entirely paradisical, certainly have profound implications for New Zealand scientists. The Internet has abolished distance, as Mee also predicted–a New Zealand scientist can participate as fully in online discussions as anyone else, and their blog can be every bit as influential. Exponential improvements in networks, computing, sensors, and data storage are also profoundly transforming the practice of science in many disciplines. But those seeking to leverage these advances become painfully familiar with the ‘dirty underbelly’ of exponentials: if you don’t constantly innovate, you can fall behind exponentially fast. Such considerations pose big challenges for the individual scientist and for institutions, for researchers and educators, and for research funders. Some of the old ways of researching and educating need to be preserved, others need to be replaced to take advantage of new methods. But what should we preserve? What should we seek to change?
A monkey model of auditory scene analysisPradeepD32
My work impacts half the world who develop age-related hearing loss with difficulty understanding speech in noise. To understand how the brain solves the cocktail party problem, I need to record from neurons suitable only in animals. Monkeys are best suited for this given our similar auditory brains. I use sounds without semantics and employ fMRI to show that monkeys use similar brain regions as humans to separate overlapping sounds. This study is the first to show such evidence in any animal. Now, I can record from monkey neurons and generalize the results to humans!
Second Annual Chandler Science Pub Quiz, Ig Nobel EditionEileen M. Kane
Chandler Science Cafe at Gangplank Hack Night, Second Annual Science Pub Quiz. Do you watch Nova? Listen to Science Friday? Our hour-long quiz is about the 2014 Ig Nobel Awards.
This article reports the detection of two gas clouds with no discernible elements heavier than hydrogen, representing the lowest heavy-element abundance observed in the early universe. One cloud at z=3.4 exhibits a deuterium abundance matching predictions from Big Bang nucleosynthesis, providing direct evidence for the standard cosmological model. The sparse metal enrichment of these clouds implies an inhomogeneous process for transporting heavy elements from galaxies into the surrounding intergalactic medium.
The document discusses brain imaging technologies such as MRI, fMRI, and emerging techniques. It describes how these methods can be used to image individual neurons, neuronal networks, and the whole brain. Examples are given of how fMRI has been used to study basic brain functions and diagnose neurological disorders. The document also suggests ways for non-experts to access and analyze brain imaging data through open access repositories and analysis tools.
This curriculum vitae outlines the educational and professional experience of Eugenia Solano-Castiella. She earned a PhD in neurophysics from the Max Planck Institute for Human Cognitive and Brain Sciences in 2011, focusing her dissertation on anatomical segmentation and parcellation of the human amygdala using magnetic resonance imaging. Her research has involved segmenting brain structures using diffusion tensor imaging and functional MRI at both 3 and 7 Tesla. She has over 10 publications in neuroimaging journals and has presented her work at numerous international conferences.
This curriculum vitae summarizes the academic and employment history, education, research activities, and publications of Joshua Harris Singer. Some key details include:
- Singer is currently an Associate Professor in the Department of Biology at the University of Maryland. He was previously an Assistant Professor at Northwestern University and UMD.
- He received a ScB in Biology from Brown University and a PhD in Physiology from the University of Washington.
- His research focuses on synaptic transmission and retinal circuit function, as evidenced by over 25 peer-reviewed publications on these topics. He has also given numerous invited talks on his research.
This document summarizes research on tone deafness, a disorder characterized by an inability to perceive changes in musical pitch. The key points are:
1. Neuroimaging and patient studies suggest tone deafness involves abnormal pitch processing in secondary auditory cortex and distributed networks beyond the auditory cortex.
2. Research found tone deaf individuals have difficulties perceiving pitch direction and changes in pitch.
3. Studies of brain structure found decreased white matter density and increased cortical thickness in right frontal and auditory areas in tone deaf individuals, suggesting a genetic basis involving abnormal cortical development and connectivity.
This document discusses explanatory unification in consciousness research. It explains that neural synchrony, especially gamma oscillations, provides a mechanistic and representational explanation that unifies theories across different cognitive phenomena. Neural synchrony is shown to resolve competition between stimuli and enable long-distance communication in the brain. The document reviews studies that have linked neural synchrony to visual search, binocular rivalry, attentional blink, backward masking, blindsight, dichotic listening tasks, and the rubber hand illusion. It concludes that neural synchrony currently acts as a key unifying explanation in consciousness research.
Awe-Inducing virtual environments have been programmed using Unity3D, and a related device concept has been designed; its name is DROP/Direct Resource Of Positivity
Predicted impairment and handicap from exposure to steady state broad-band in...Alexander Decker
This academic article summarizes research on predicting impairment and handicap from exposure to steady-state broad-band industrial noise. The researchers used empirical formulas to predict monaural impairment and hearing handicap values for different exposure levels. They found that both impairment and handicap increase with exposure level, supporting the equal energy hypothesis. The values of hearing handicap were always higher than impairment values.
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.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
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 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
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
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.
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
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/
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
4. Colours
Stockman, MacLeod & Johnson. “Simplified human cone response
curves” Journal of the Optical Society of America. 1993.
Wavelength (nm)
Response
20. Assigning a colour to noise means:
1. Amplitude is Gaussian distributed
2. Particular Power Spectral Density (PSD)
Colours of Noise
21. Colours of Noise
What colourDoyle, JA, Evans, AC. “What Colour is Neural Noise?” Cognitive
Computational Neuroscience, 2018. (under review)
22. Doyle, JA, Evans, AC. “What Colour is Neural Noise?” Cognitive
Computational Neuroscience, 2018. (under review)
Colours of Noise
23. Colours of Noise
Colour Power Spectral Distribution
Black 1/𝑓 𝛼, 𝛼 > 2
Gray
121942
⋅ 𝑓4
𝑓2 + 20.62 √(𝑓2 + 737.92)(𝑓2 + 121942)
Brown 1/𝑓2
Orange musical notes removed
Red 1/𝑓2
Pink 1/𝑓
White 𝑐
Green 1/𝑓2
or 𝑐
Blue 𝑓
Violet 𝑓2
25. Pink Noise
Gao, R. “Interpreting the Electrophysiological Power
Spectrum”. Journal of Neurophysiology, 2015.
1
𝑓
ECoG
26. Pink Noise
Pritchard, Walter S. "The brain in fractal time: 1/f-like power spectrum
scaling of the human electroencephalogram." International Journal of
Neuroscience 66.1-2 (1992): 119-129.
EEG
1
𝑓
27. Pink Noise
Zhou, Junhong, et al. "Pink noise: effect on complexity
synchronization of brain activity and sleep consolidation." Journal of
theoretical biology 306 (2012): 68-72
1
𝑓
Stochastic Facilitation
with audio
28. Blue Noise
𝑓
Mitsa, Theophano, and Kevin J. Parker. "Digital halftoning technique
using a blue-noise mask." JOSA A 9.11 (1992)
29. Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
30. Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
31. Blue Noise
Yellott, John I. "Spectral consequences of photoreceptor sampling in
the rhesus retina." Science 221.4608 (1983): 382-385.
39. Measuring Noise
1. Variance
2. Number of PCA components
3. Multiscale Entropy (MSE)
McIntosh, Anthony R., et al. "The development of a noisy
brain." Archives italiennes de biologie 148.3 (2010): 323-337.
40. Distraction
Cohen, Marlene R., and John HR Maunsell. "Attention improves
performance primarily by reducing interneuronal
correlations." Nature neuroscience 12.12 (2009): 1594.
42. fMRI
PyBIDS
Gorgolewski, Krzysztof J., et al. "A test-retest fMRI dataset for motor,
language and spatial attention functions." GigaScience2.1 (2013): 6.
44. Noise & Stability
Halley, John M., and Pablo Inchausti. "The increasing importance of
1/f-noises as models of ecological variability." Fluctuation and Noise
Letters 4.02 (2004): R1-R26.