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Are you a student interested in studying in a TLDC laboratory?
This page is a resource for prospective students interested in participating in a TDLC lab. The following is a list of TDLC investigators, their associated institutions throughout the country, and pertinent information/links:
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 Neuroscience Department
Investigator: David Sheinberg
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://charlotte.neuro.brown.edu/
Research: Current projects in the lab are exploring the dynamic nature of visual processing. |
Additional Information/Links
Brown University Graduate School
Admissions
Financial Support
Neuroscience Department, Brown University
Brown University Neuroscience Department
Neuroscience Graduate Program
Graduate Program Application
Financial Support
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Psychology Department
Investigator: Eduardo Mercado
TDLC Network: Sensory Motor Network
Email:
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Web: http://www.psychology.buffalo.edu/directory/faculty/people/mercado/
Research: The Neural and Cognitive Plasticity Laboratory is dedicated to understanding how experience guides perception and thought. Currently, we are exploring how experience with complex sounds changes the way that brains process those sounds.
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Additional Information/Links
University at Buffalo SUNY Graduate School
Graduate School
Admissions
Financial Information
Psychology Department, University at Buffalo
Psychology Graduate Department
Graduate Student Handbook
UB Financial Support
College of Arts and Sciences Financial Support
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Department: Molecular and Cell Biology
Investigator: Yang Dan
TDLC Network: Sensory Motor Network
Email:
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Web: http://mcb.berkeley.edu/index.php?option=com_mcbfaculty&name=dany
Research: Our research aims to elucidate (1) how visual information is encoded and processed in the mammalian brain, and (2) how neural circuits are shaped by visual experience.
Investigator: Dan Feldman
TDLC Network: Sensory Motor Network
Email:
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Web: http://mcb.berkeley.edu/index.php?option=com_mcbfaculty&name=feldmand
Research: My laboratory studies the function and plasticity of the cerebral cortex at the synapse, cellular, and neural systems levels.
Investigator: Mu-Ming Poo
TDLC Network: Sensory Motor Network
Email:
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Web: http://mcb.berkeley.edu/labs/poo/
Research: We are interested in understanding the cellular and molecular mechanisms underlying the guidance of nerve growth, the formation and plasticity of synapses, and activity-dependent modification of neural circuits.
Department: Redwood Center for Theoretical Neuroscience
Investigator: Tony Bell
TDLC Network: Sensory Motor Network
Email:
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Web: https://redwood.berkeley.edu/wiki/Tony_Bell
Research interest: To unify ideas from probabilistic unsupervised machine learning with the cross-level information flows that occur in the biological hierarchy.
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Additional Information/Links
General UC Berkeley Graduate Information
Graduate Division
Admissions
Financial Support
Department of Molecular and Cell Biology, UC Berkeley
Department of Molecular and Cell Biology
Molecular & Cell Biology Graduate Program
Admission and Recruitment / Application
Program Information
Financial Support
Redwood Center for Theoretical Neuroscience, UC Berkeley
Redwood Center for Theoretical Neuroscience
Neuroscience Graduate Program at UC Berkeley
UC Berkeley Vision Science
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Biology Department
Investigator: Fred Gage
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://www.salk.edu/faculty/faculty_details.php?id=23
Research: Fred Gage's focus is the adult central nervous system and unexpected plasticity and adaptability to environmental stimulation that remains throughout the life of all mammals. His work may lead to methods of replacing or enhancing brain and spinal cord tissues lost or damaged due to Neurodegenerative disease or trauma. Gage's lab showed that, contrary to accepted dogma, human beings are capable of growing new nerve cells throughout life. Small populations of immature nerve cells are found in the adult mammalian brain, a process called Neurogenesis. Gage is working to understand how these cells can be induced to become mature functioning nerve cells in the adult brain and spinal cord. They showed that environmental enrichment and physical exercise can enhance the growth of new brain cells and they are studying the underlying cellular and molecular mechanisms, that may be harnessed to repair the aged and damaged brain and spinal cord.
Investigator: Terrence Sejnowski
Email:
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TDLC Network: Sensory Motor Network
Web: http://www.cnl.salk.edu
Research: The long range goal of our laboratory is to understand the computational resources of brains from the biophysical to the systems levels. The central issues being addressed are how dendrites integrate synaptic signals in neurons, how networks of neurons generate dynamical patterns of activity, how sensory information is represented in the cerebral cortex, how memory representations are formed and consolidated during sleep, and how visuo-motor transformations are adaptively organized.
Center for Human Development
Investigator: Gedeon Deak
TDLC Network: Social Interaction Network
Email:
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Web: http://www.cogsci.ucsd.edu/~deak/cdlab/
Research: Gedeon Deák asks how inexperienced organisms learn to select and respond to the most relevant information in complex, partly predictable, information-rich environments. He and his colleagues study the emergence of attention-sharing skills. They also perform empirical studies on children's biases in learning words and other kinds of information, such as facts and pictograms. Finally, Prof. Deák and his team study cognitive flexibility, which changes radically during childhood. They investigate how flexibility is related to other capacities such as inhibition, working memory for task cues, and processing speed.
Investigator: Jeffrey Elman
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://crl.ucsd.edu/~elman/
Research: My primary research interests are on language processing and learning. I study language both through computational models and also through psycholinguistic and neuroimaging studies.
Investigator: Terry Jernigan
TDLC Network: Social Interaction Network
Email:
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Web: http://psychiatry.ucsd.edu/faculty/tjernigan.html
Research: Dr. Jernigan’s research employs magnetic resonance imaging and cognitive activation paradigms in studies of brain maturation and brain aging, CNS effects of HIV-infection, and neural effects of substance abuse. These studies link dynamic changes in tissue biology and patterns of brain activity to development, neurotoxicity, and disease progression, as well as to specific behavioral alterations. Dr. Jernigan is P.I. of several privately or publicly funded projects and her bibliography lists over a hundred research publications.
Investigator: Judy Reilly
TDLC Network:
Email:
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Web: http://www.psychology.sdsu.edu/new-web/facultystaff/reilly.html
Research: Overall our research interests lie in understanding the relations between our two primary communicative systems: language and emotion and their neural substrates. To better understand their development and the changing nature of the relations of these systems, we examine the developmental trajectories of language and emotion and contexts where they intersect in both typically and atypically developing children: children and adolescents with early unilateral brain damage, children with language impairment and children with Williams or Down Syndrome as well as typically developing individuals. Some current projects include: language and literacy development in different populations including oral and written narratives in children with early brain damage and children with language impairment. Emotion studies focus on social cognition, including children's developing abilities to recognize faces and emotional expression and to infer emotions in others.
Cognitive Science Department
Investigator: Andrea Chiba
Network: Interacting Memory Systems Network
Email:
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Web: http://neurograd.ucsd.edu/faculty/detail.php?id=21
Research: Our laboratory is interested in gaining further knowledge of neural systems underlying affect, attention, learning, and memory. Our current research has diverged into two lines of investigation. The first line of research is focused on the neural systems underlying spatial attention. The second line of research is focused on the neural systems underlying the representation of affect.
Investigator: Virginia de Sa
TDLC Network: Sensory Motor Network
Email:
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Web: http://www.cogsci.ucsd.edu/~desa/
Research: Our research goal is to better understand the neural basis of human perception and learning. We are interested in how we learn, both from a neural and computational point of view. We study the computational properties of machine learning algorithms and also investigate what physiological recordings and the constraints and limitations of human performance tell us about how our brains learn.
Investigator: Gedeon Deak
TDLC Network: Social Interaction Network
Email:
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Web: http://www.cogsci.ucsd.edu/~deak/cdlab/
Research: Gedeon Deák asks how inexperienced organisms learn to select and respond to the most relevant information in complex, partly predictable, information-rich environments. He and his colleagues study the emergence of attention-sharing skills. They also perform empirical studies on children's biases in learning words and other kinds of information, such as facts and pictograms. Finally, Prof. Deák and his team study cognitive flexibility, which changes radically during childhood. They investigate how flexibility is related to other capacities such as inhibition, working memory for task cues, and processing speed.
Investigator: Jeffrey Elman
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://crl.ucsd.edu/~elman/
Research: My primary research interests are on language processing and learning. I study language both through computational models and also through psycholinguistic and neuroimaging studies.
Investigator: Terry Jernigan
TDLC Network: Social Interaction Network
Email:
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Web: http://psychiatry.ucsd.edu/faculty/tjernigan.html
Research: Dr. Jernigan’s research employs magnetic resonance imaging and cognitive activation paradigms in studies of brain maturation and brain aging, CNS effects of HIV-infection, and neural effects of substance abuse. These studies link dynamic changes in tissue biology and patterns of brain activity to development, neurotoxicity, and disease progression, as well as to specific behavioral alterations. Dr. Jernigan is P.I. of several privately or publicly funded projects and her bibliography lists over a hundred research publications.
Investigator: Howard Poizner
TDLC Network: Sensory Motor Network
Email:
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Web: http://inc2.ucsd.edu/poizner/
Research: The long-range objective of the laboratory is to better understand the neural bases of human sensorimotor control and learning. Our approach is to analyze normal motor control and learning processes, and the nature of the breakdown in those processes in patients with selective failure of specific sensory or motor systems of the brain. Toward this end, we have developed novel methods of imaging and graphic analysis of spatiotemporal patterns inherent in digital records of movement trajectories. We monitor movements of the limbs, body, head, and eyes, both in real environments and in 3D multimodal, immersive virtual environments, and recently have added synchronous recording of high-definition EEG. One domain of our studies is Parkinson's disease. Our studies have been dissecting out those elements of sensorimotor processing which may be most impaired in Parkinsonism, and those elements that may most crucially depend upon basal ganglia function and cannot be compensated for by other brain systems. Since skilled movement and learning may be considered opposite sides of the same coin, we also are investigating learning in Parkinson’s disease: how Parkinson’s patients learn to adapt their movements in altered sensorimotor environments; how their eye-hand coordination changes over the course of learning sequences; and how their neural dynamics are altered when learning to make decisions based on reward.
Computer Science & Engineering Department
Investigator: Garrison Cottrell
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://www.cs.ucsd.edu/~gary/
Research: My research concerns using neural networks as a computational model applied to problems in cognitive science and artificial intelligence, engineering and biology. I have had success using them for such disparate tasks as modeling how children acquire words, studying how lobsters chew, and nonlinear data compression.
Institute for Neural Computation
Investigator: Marian Stewart Bartlett
TDLC Network: Social Interaction Network
Email:
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Web: http://mplab.ucsd.edu/~marni/index.html
Research: I study learning in vision, with application to face recognition and expression analysis. One area of focus explores models of unsupervised learning and their application to face processing. Another major focus of my research is the development of automatic facial expression recognition systems. In collaboration with other members of the Machine Perception Lab, we have developed an end-to-end system for automatic recognition of a set of basic expressions that works in real-time. We have also made substantial progress toward fully automating the facial action coding system, a comprehensive facial expression description system developed by Paul Ekman and Wallace Friesen.
Investigator: Gwen Littlewort
TDLC Network: Social Interaction Network
Email:
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Web: http://mplab.ucsd.edu/~gwen/
Research: The goal of the MPLab is to develop systems that perceive and interact with humans in real time using natural communication channels. To this effect we are developing perceptual primitives to detect and track human faces and to recognize facial expressions. We are also developing algorithms for robots that develop and learn to interact with people on their own. Applications include personal robots, perceptive tutoring systems, and system for clinical assessment, monitoring, and intervention.
Investigator: Scott Makeig
TDLC Network: Social Interaction Network
Email:
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Web: http://sccn.ucsd.edu/~scott/
Research: My primary research interest is in analysis and modeling of human cognitive event-related brain dynamics as captured by high-dimensional EEG, MEG and other imaging modalities now including body motion capture. Brain imaging analysis approaches I and colleagues have pioneered include time-frequency analysis and independent component analysis (ICA), and neural network and machine learning methods.
Investigator: Javier Movellan
TDLC Network: Social Interaction Network
Email:
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Web: http://mplab.ucsd.edu/wordpress/
Research: The goal of the MPLab is to develop systems that perceive and interact with humans in real time using natural communication channels. To this effect we are developing perceptual primitives to detect and track human faces and to recognize facial expressions. We are also developing algorithms for robots that develop and learn to interact with people on their own. Applications include personal robots, perceptive tutoring systems, and system for clinical assessment, monitoring, and intervention.
Investigator: Howard Poizner
TDLC Network: Sensory Motor Network
Email:
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Web: http://inc2.ucsd.edu/poizner/
Research: The long-range objective of the laboratory is to better understand the neural bases of human sensorimotor control and learning. Our approach is to analyze normal motor control and learning processes, and the nature of the breakdown in those processes in patients with selective failure of specific sensory or motor systems of the brain. Toward this end, we have developed novel methods of imaging and graphic analysis of spatiotemporal patterns inherent in digital records of movement trajectories. We monitor movements of the limbs, body, head, and eyes, both in real environments and in 3D multimodal, immersive virtual environments, and recently have added synchronous recording of high-definition EEG. One domain of our studies is Parkinson's disease. Our studies have been dissecting out those elements of sensorimotor processing which may be most impaired in Parkinsonism, and those elements that may most crucially depend upon basal ganglia function and cannot be compensated for by other brain systems. Since skilled movement and learning may be considered opposite sides of the same coin, we also are investigating learning in Parkinson’s disease: how Parkinson’s patients learn to adapt their movements in altered sensorimotor environments; how their eye-hand coordination changes over the course of learning sequences; and how their neural dynamics are altered when learning to make decisions based on reward.
Investigator: Terrence Sejnowski
TDLC Network: Sensory Motor Network
Email:
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Web: http://www.cnl.salk.edu
Research: The long range goal of our laboratory is to understand the computational resources of brains from the biophysical to the systems levels. The central issues being addressed are how dendrites integrate synaptic signals in neurons, how networks of neurons generate dynamical patterns of activity, how sensory information is represented in the cerebral cortex, how memory representations are formed and consolidated during sleep, and how visuo-motor transformations are adaptively organized.
Psychiatry
Investigator: Robert Clark
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://psychiatry.ucsd.edu/faculty/rclark.html
Research: We investigate the organization and neurological foundations of learning and memory. My work involves the study of rodents and combines the traditions of cognitive science and neuroscience. We have developed a model of human amnesia in the rat that involves the use of numerous behavioral tasks designed to measure memory in the rat and permanent lesions and sustained reversible lesions of various brain structures. We also use immediate early gene expression and radioactive isotopes to characterize the activity of brain structures. We also investigate the cognitive factors that are related to successful eyeblink classical conditioning in healthy human volunteers and neurological patients.
Investigator: Larry Squire
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://whoville.ucsd.edu/about.html
Research: Our interest is in the organization and structure of mammalian memory (humans and rodents) in terms of anatomy and function at the level of neural systems and cognition. Our research draws on the traditions of neuroscience, neuropsychology, and cognitive science. A part of our research involves studies of identified patients with amnesia. (Dr. Squire is recognized internationally for his research investigating the organization and neurological foundations of memory. His work has involved the study of neurological patients, neuroimaging, nonhuman primates and rodents, and combines the traditions of cognitive science and neuroscience).
Psychology Department
Investigator: Hal Pashler
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://laplab.ucsd.edu/
Research: Interests include: Human Learning and Memory: Learning Mechanisms; Attention: Visual Attention, Multitasking, Visual Awareness; Enhancement of Learning and Training Based on Experimental Psychology Findings.
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Additional Information/Links
General Graduate School Information
at UC San Diego
Graduate Application
Financial Assistance
San Diego Fellowship Program
Biological Sciences, UC San Diego
Biological Sciences
Biological Sciences Graduate Information
Admissions / Apply
Center for Human Development, UC San Diego
Center for Human Development
Cognitive Science, UC San Diego
Department of Cognitive Science
Dept. of Cognitive Science Graduate Information
Information for Applicants
Graduate Admissions FAQs
Computer Science & Engineering, UC San Diego
Department of Computer Science & Engineering, UC San Diego
Dept. of Computer Science & Engineering Graduate Education
CSE Graduate Application Checklist
CSE Financial Opportunities
Institute for Neural Computation (INC)
INC Website
INC Laboratories
Department of Psychiatry, UC San Diego
Department of Psychiatry
Department of Psychology, UC San Diego
Department of Psychology
Dept. of Psychology Graduate Program
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Psychology Department
Investigator: Marlene Behrmann
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://www.cnbc.cmu.edu/~behrmann/mb.htm
Research: Research in my lab focuses on studying the necessary psychological processes and representations that underlie abilities such as object segmentation and recognition, face recognition, mental imagery, reading and writing and spatial attention. Although these questions are asked within the framework of information-processing models used in cognitive psychology, I am also interested in identifying the neural mechanisms which are responsible for these complex abilities.
Cognitive and Linguistic Sciences
Investigator: Michael Tarr
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://www.tarrlab.org
Research: Research interests include: computational, behavioral, and neural approaches to understanding visual object and face representation and recognition; perceptual categorization, learning, and expertise; how non-perceptual and perceptual systems interact.
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Additional Information/Links
Graduate Education at Carnegie Mellon University
Graduate Education
Admissions
Financial Assistance
Psychology Department at Carnegie Mellon University (note: Cognitive Neuroscience is an area of study within this department)
Psychology Department
Psychology Graduate Program
Training Grants - Psychology Department
Applying for Admission
Graduate Student Handbook - Psychology
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Pediatrics
Investigator: Robert Schultz
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://www.research.chop.edu/programs/car/
Research Interests: Our research is focused on understanding the causes of autism. Current projects are linking genetic susceptibility markers, to brain imaging findings and behavioral outcomes (including differences in response to treatment). While the focus of our work historically has been on the “social brain” (e.g., face perception and social cognition) using MRI, we are expanding our studies now to look more broadly at how different aspects of the autism phenotype (e.g, intellectual disability, co-morbid psychiatric symptoms) cluster across individuals and correlate with biomarkers and genetic risk markers. We also have an active program of research on training children with autism using computerized video gaming, and looking at reward mechanisms. |
Additional Information/Links
Neuroscience Research at The Children's Hospital of Philadelphia
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Computer Science Department
Investigator: Michael Mozer
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://www.cs.colorado.edu/~mozer/Home.html
Research: Research Interests include: * Using computational models to understand the mechanisms of human learning and cognition; * Particular focus has been in the areas of visual perception, selective attention, awareness, executive control, and neuropsychological disorders; * The adaptive house: a control system that learns to manage energy resources (air heat, water heat, lighting, and ventilation) in an actual residence to maximize the satisfaction of the inhabitants and minimize energy consumption; * Speech recognition: developing low-cost neural-net-based hardware for speaker-dependent and speaker-independent recognition (see Sensory, Inc.); * Data mining applications
Department of Psychology and Neuroscience
Investigator: Tim Curran
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://psych.colorado.edu/~tcurran/
Research: My research focuses on human learning and memory. I approach these topics from a cognitive neuroscience perspective with the goals of understanding the characteristics of mental processes and how they are realized within the brain. Most of my current research uses measures of brain electrical activity (ERPs) to study the brain processes that underlie recognition memory. In particular, ERPs are being used to dissociate the influences of recollection and familiarity on recognition memory. Other ongoing research, in collaboration with the Perceptual Expertise Network , uses ERPs to investigate the manner in which visual object recognition processes are influenced by expertise.
Investigator: Randy O'Reilly
TDLC Network:
Email:
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Web: http://psych.colorado.edu/~oreilly/
Research: I develop computational and formal models of the biological bases of cognition (computational cognitive neuroscience), focusing on specialization of function in and interactions between hippocampus, prefrontal cortex/basal ganglia, and posterior neocortex in learning, memory, attention, and controlled processing. I test predictions from these models using a range of behavioral and other experimental techniques.
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Additional Information/Links
Graduate School at the University of Colorado, Boulder
Graduate School
Application
Financial Assistance
Department of Computer Science, University of Colorado, Boulder
Graduate Program - Department of Computer Science
Financial Aid - Department of Computer Science
Research in Neural and Statistical Computation at the University of Colorado, Boulder
Department of Psychology and Neuroscience, University of Colorado, Boulder
Department of Psychology and Neuroscience Graduate Program
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Neurotechnology
Investigator: Kenneth Harris
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://www3.imperial.ac.uk/people/kenneth.harris
Research Interests: My research group studies the computational and biological substrates of neuronal self-organization. We have recently developed a theory that may in part explain how this self-organization occurs. The theory rests on a proposed physiological mechanism we call the retroaxonal hypothesis. This mechanism would allow neurons to organize into efficient networks through competitive processes similar to those of a market economy. |
Additional Information/Links
Imperial College London
Graduate Schools
How to Apply
Financial Information
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School of Information Sciences
Investigator: Paul Munro
TDLC Network: Sensory Motor Network
Email:
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Web: http://www.sis.pitt.edu/~pmunro
Research Interests: Neurobiological models, Hybrid systems with genetic algorithms, Data compression and error correction, Spatial cognition, Visualization of backprop learning
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Additional Information/Links
Graduate School, University of Pittsburgh
Graduate Admissions
Financial Information
University of Pittsburgh, School of Information Sciences
School of Information Sciences
Admissions
Financial Aid
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Information Technology & Electrical Engineering
Investigator: Janet Wiles
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://www.itee.uq.edu.au/~janetw/
Research Interests: Complex systems biology: modeling genetic regulatory networks, evolution of development, C. elegans lineage complexity; Computational neuroscience: human memory, hippocampus, neurogenesis in dentate gyrus; Evolution of language: evolving learnable languages, language for space, evolving robot languages; Modeling methods: Network analysis, Agent based systems, Complex Systems Patterns, Evolutionary Computation, Neural Networks, Machine Learning, Data Mining, Visualisation; Artificial Intelligence and Artificial Life: genotype to phenotype, morphology, cellular automata for active environments; Naturally Intelligent Systems: Human memory, language and cognition. |
Additional Information/Links
Graduate School at the University of Queensland, Australia
Graduate School
Admission
Financial Assistance
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Molecular and Behavioral Neuroscience
Investigator: April Benasich
TDLC Network: Sensory Motor Network
Email:
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Web: http://babylab.rutgers.edu/personnel/benasich.html
Research: The research in my laboratory focuses on uncovering the neural processes necessary for normal cognitive and language development. Our ongoing longitudinal studies examining perceptual-cognitive abilities (habituation, recognition memory, cross-modal transfer) and auditory temporal processing in infancy are directed at determining how these abilities relate to later cognitive, linguistic, and behavioral outcomes in both normal infants and infants at risk for developmental delays. Early intervention programs, their impact on children and families, and the social policy implications of such interventions are also ongoing research foci.
Investigator: Gyorgy Buzsaki
TDLC Network: Interacting Memory Systems Network
Network: Interacting Memory Systems Network
Email:
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Web: http://osiris.rutgers.edu/frontmid/indexmid.html
Research: In general terms, our main interest is how neuronal circuitries of the brain support its cognitive capacities. Our goal is to provide rational, mechanistic explanations of cognitive functions at a descriptive level. In our view, the most promising area of cognitive faculties for scientific inquiry is memory, since it is a well-circumscribed term, can be studied in animals and substantial knowledge has accumulated on the molecular mechanisms of synaptic plasticity.
Investigator: Paula Tallal
TDLC Network: Sensory Motor Network
Email:
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Web: http://cmbn.rutgers.edu/research/tallal/
Research Interests: Cognitive Neuroscience, Language and Central Auditory Processing, Language-Learning Disabilities.
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Additional Information/Links
Graduate School at Rutgers University
Graduate School
Funding Opportunities
Molecular and Behavioral Neuroscience, Rutgers University
Center for Molecular and Behavioral Neuroscience
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Investigator: Fred Gage
TDLC Network: Interacting Memory Systems Network
Email:
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Web: http://www.salk.edu/faculty/faculty_details.php?id=23
Research: Fred Gage's focus is the adult central nervous system and unexpected plasticity and adaptability to environmental stimulation that remains throughout the life of all mammals. His work may lead to methods of replacing or enhancing brain and spinal cord tissues lost or damaged due to Neurodegenerative disease or trauma. Gage's lab showed that, contrary to accepted dogma, human beings are capable of growing new nerve cells throughout life. Small populations of immature nerve cells are found in the adult mammalian brain, a process called Neurogenesis. Gage is working to understand how these cells can be induced to become mature functioning nerve cells in the adult brain and spinal cord. They showed that environmental enrichment and physical exercise can enhance the growth of new brain cells and they are studying the underlying cellular and molecular mechanisms, that may be harnessed to repair the aged and damaged brain and spinal cord.
Investigator: Terrence Sejnowski
TDLC Network: Sensory Motor Network
Email:
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Web: http://www.cnl.salk.edu/
Research: The long range goal of our laboratory is to understand the computational resources of brains from the biophysical to the systems levels. The central issues being addressed are how dendrites integrate synaptic signals in neurons, how networks of neurons generate dynamical patterns of activity, how sensory information is represented in the cerebral cortex, how memory representations are formed and consolidated during sleep, and how visuo-motor transformations are adaptively organized. New techniques have been developed for modeling cell signaling using Monte Carlo methods (MCell) and the blind separation of brain imaging data into functionally independent components (ICA). |
Additional Information/Links
Neuroscience Laboratories at The Salk Institute
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Psychology Department
Investigator: Judy Reilly
TDLC Network: Social Interaction Network
Email:
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Web: http://www.psychology.sdsu.edu/new-web/facultystaff/reilly.html
Research: Overall our research interests lie in understanding the relations between our two primary communicative systems: language and emotion and their neural substrates. To better understand their development and the changing nature of the relations of these systems, we examine the developmental trajectories of language and emotion and contexts where they intersect in both typically and atypically developing children: children and adolescents with early unilateral brain damage, children with language impairment and children with Williams or Down Syndrome as well as typically developing individuals. Some current projects include: language and literacy development in different populations including oral and written narratives in children with early brain damage and children with language impairment. Emotion studies focus on social cognition, including children's developing abilities to recognize faces and emotional expression and to infer emotions in others. |
Additional Information/Links
San Diego State University Graduate School
Graduate Admissions
Graduate Bulletin
Financial Aid
Department of Psychology, SDSU
Department of Psychology Graduate Programs
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Psychology Department
Investigator: Isabel Gauthier
TDLC Network: Perceptual Expertise Network
Email:
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Web: http://gauthier.psy.vanderbilt.edu/index.html
Research: Object Perception Lab projects include: Comparing training experiences; Competition between domains of expertise; Expertise in the reading of musical notation; High resolution imaging; How categorization affects visual representations; Locus of holistic processing; What is the consequence of calling objects by their names; Working memory and holistic processing.
Investigator: Thomas Palmeri
TDLC Network: Perceptual Expertise Network
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Web: http://catlab.psy.vanderbilt.edu/
Research: Our laboratory studies perceptual categorization, perceptual decision making, and perceptual expertise using a combination of behavioral experiments, computational modeling, and cognitive neuroscience techniques.
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Cognitive Psychology
Investigator: Daniel Bub
TDLC Network: Perceptual Expertise Network
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Web: http://web.uvic.ca/psyc/bub.html
Research: I have developed a novel experimental method to assess the evocation of specific hand action representations to words, objects or sentences in real time. This approach requires subjects to carry out speeded reach and grasp actions on an eight-element response apparatus. Each element affords a unique action and subjects learn to produce a given manual action in response to a visual cue. We then measure the influence of an object, word or sentence (a priming event) on reach and grasp performance, time-locked to the visual cue, yielding evidence on the nature and time course of the motor representations evoked by the priming event. This research provides valuable convergent methods that will clarify evidence available from functional imaging research and from neuropsychology.
Investigator: Jim Tanaka
TDLC Network: Perceptual Expertise Network
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Web: http://web.uvic.ca/psyc/tanaka.html
Research: My research examines the cognitive and neurological processes underlying object and face recognition. I am particularly interested in questions related to how experience influences the way we perceive and recognize objects in the world. To address these questions, we have been studying the perceptual processes involved in expert object recognition, such as birdwatching, and face recognition - a kind of perceptual expertise in which we are all experts. In a related line of research, we have been working with children with autism in a program designed to improve their face recognition abilities. |
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Applied Mathematics and Computer Science and Engineering
Investigator: Emanuel Todorov
TDLC Network: Sensory Motor Network
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Web: http://www.cs.washington.edu/homes/todorov/
Research: The focus of our research is intelligent control in biology and engineering. We are trying to build a computational theory of the sensorimotor loops responsible for moment-to-moment control and test the theory experimentally. We are also developing biologically-inspired algorithms for optimal control of complex dynamics. The specific projects in the lab fall in several categories: developing efficient control algorithms suitable for biomechanical systems; constructing control-theoretic models of behavioral phenomena; testing model predictions in motor psychophysics experiments; implementing systems-level models in recurrent neural networks; building compliant robots which we hope to be able to control using our new algorithms. |
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University of Washington Graduate Studies
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