Computational Neuroscience
A computational model is a complete description of how a neural system functions, and in that sense the ultimate specification of neuroscience theory. The models are constrained by and validated with existing experimental data, and then used to generate predictions for further biological experiments.
People
James A. Bednar Postdoc (Alumni) jbednar@inf.ed.ac.uk
Yoonsuck Choe Ph.D. Student (Alumni) choe@tamu.edu
Judah De Paula Ph.D. Student (Alumni) judah@cs.utexas.edu
Igor Farkas Postdoc (Alumni) ifarkas@richmond.edu
Andrea Haessley Masters Student (Alumni)
Michael Howe Undergraduate Student (Alumni) michael_howe@cs.colorado.edu
Stefanie Jegelka visitor stefje@gmx.de
Amol Kelkar Masters Student (Alumni)
Risto Miikkulainen Professor risto@cs.utexas.edu
Mark Moll visitor "last name" at isi.edu
Enrique Muro visitor
Manish Saggar Ph.D. Student (Alumni) mishu@cs.utexas.edu
Yaron Silberman Ph.D. Student (Alumni) yarons@alice.nc.huji.ac.il
Joseph Sirosh Ph.D. Student (Alumni) joseph.sirosh@gmail.com
Yiu Fai Sit Ph.D. Student (Alumni) yfsit@cs.utexas.edu
Tal Tversky Ph.D. Student (Alumni) tal@cs.utexas.edu
Vinod Valsalam Ph.D. Student (Alumni) vkv@alumni.utexas.net
Publications (72)
A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity 2012
Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Jacobs, David A Bridwell, Phillip R Shaver, Erika L Rosenberg, Baljinder K Sahdra, Emilio Ferrer, Akaysha C Tang, George R Mangun, B Alan Wallace, Risto Miikkulainen, and Clifford D Saron
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming 2010
Manish Saggar, Risto Miikkulainen, David Schnyer
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients 2010
W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model 2009
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing 2009
Yiu Fai Sit and Risto Miikkulainen
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman
Modeling the Bilingual Lexicon of an Individual Subject 2009
Risto Miikkulainen and Swathi Kiran
Category Learning Systems 2008
Dagmar Zeithamova
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer
Memory Processes in Perceptual Decision Making 2008
Manish Saggar, Risto Miikkulainen, David M Schnyer
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes 2007
Yiu Fai Sit and Risto Miikkulainen
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman
Developing Complex Systems Using Evolved Pattern Generators 2007
Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen
Effects of Acquisition Rate on Emergent Structure in Phonological Development 2007
Melissa A. Redford and Risto Miikkulainen
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks 2007
Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen
Converting RGB Images to LMS Cone Activations 2006
Judah B. De Paula
Establishing an Appropriate Learning Bias Through Development 2006
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1 2006
James A. Bednar and Risto Miikkulainen
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1 2006
Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen
Self-Organization of Hierarchical Visual Maps with Feedback Connections 2006
Yiu Fai Sit and Risto Miikkulainen
Constructing Good Learners Using Evolved Pattern Generators 2005
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Constructing Visual Function Through Prenatal and Postnatal Learning 2005
James A. Bednar and Risto Miikkulainen
Self-organization of color opponent receptive fields and laterally connected orientation maps 2005
James A. Bednar, Judah B. De Paula, and Risto Miikkulainen
Contour Integration and Segmentation with Self-Organized Lateral Connections 2004
Yoonsuck Choe and Risto Miikkulainen
Modeling Cortical Maps with Topographica 2004
James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky
Prenatal and Postnatal Development of Laterally Connected Orientation Maps 2004
James A. Bednar and Risto Miikkulainen
Learning Innate Face Preferences 2003
James A. Bednar and Risto Miikkulainen
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps 2003
James A. Bednar and Risto Miikkulainen
The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences 2003
James A. Bednar
Learning to See: Genetic and Environmental Influences on Visual Development 2002
James A. Bednar
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps 2002
Tal Tversky and Risto Miikkulainen
Modeling Large Cortical Networks With Growing Self-Organizing Maps 2002
James A. Bednar, Amol Kelkar, and Risto Miikkulainen
Neonatal Learning Of Faces: Environmental And Genetic Influences 2002
James A. Bednar and Risto Miikkulainen
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons 2001
Yoonsuck Choe
Scaling Self-Organizing Maps To Model Large Cortical Networks 2001
James A. Bednar, Amol Kelkar, and Risto Miikkulainen
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing 2000
Yoonsuck Choe and Risto Miikkulainen
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation 2000
Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory 2000
Michael Howe and Risto Miikkulainen
Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep 2000
James A. Bednar
Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning? 2000
James A. Bednar and Risto Miikkulainen
Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex 2000
James A. Bednar and Risto Miikkulainen
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex 1999
Igor Farkas and Risto Miikkulainen
A Self-Organizing Neural Network Model of the Primary Visual Cortex 1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons 1998
Yoonsuck Choe and Risto Miikkulainen
Convergence-Zone Episodic Memory: Analysis And Simulations 1997
Mark Moll and Risto Miikkulainen
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon 1997
Risto Miikkulainen
Self-Organization And Segmentation With Laterally Connected Spiking Neurons 1997
Yoonsuck Choe and Risto Miikkulainen
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex 1997
Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex 1997
James A. Bednar
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex 1996
Risto Miikkulainen and Joseph Sirosh
Lateral Interactions In The Cortex: Structure And Function 1996
Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors)
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex 1996
Joseph Sirosh, Risto Miikkulainen and James A. Bednar
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen
A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl 1995
Andrea Haessly, Joseph Sirosh and Risto Miikkulainen
A Self-Organizing Neural Network Model Of The Primary Visual Cortex 1995
Joseph Sirosh
Modeling Cortical Plasticity Based On Adapting Lateral Interaction 1995
Joseph Sirosh and Risto Miikkulainen
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex 1995
Joseph Sirosh and Risto Miikkulainen
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen
Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps 1994
Joseph Sirosh and Risto Miikkulainen
Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance 1994
Joseph Sirosh and Risto Miikkulainen
The Capacity Of Convergence-Zone Episodic Memory 1994
Mark Moll, Risto Miikkulainen, Jonathan Abbey
How Lateral Interaction Develops In A Self-Organizing Feature Map 1993
Joseph Sirosh and Risto Miikkulainen
Trace Feature Map: A Model Of Episodic Associative Memory 1992
Risto Miikkulainen
A Neural Network For Attentional Spotlight 1991
Wee Kheng Leow and Risto Miikkulainen
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution 1991
Risto Miikkulainen
Projects
Trichromatic LISSOM 2005 - 2007
A computational analysis of meditation 2005 - Present
Neural Network Models of Schizophrenic Language 2003 - Present
Self-Organization of Directional Selectivity 1999 - 2002
PGLISSOM: Perceptual Grouping in a Self-Organizing Map of Spiking Neurons 1999 - Present
GLISSOM: Modeling Large Cortical Maps 1999 - 2001
Self-Organization Driven by Internally-Generated Patterns 1997 - 2002
Tilt Aftereffects in the RF-LISSOM Model 1996 - 2000
Orientation Perception in the RF-LISSOM Model 1995 - 2000
Self-Organization in the Primary Visual Cortex: The RF-LISSOM Model 1995 - 1997
Vision-Driven Development of Auditory Spatial Maps 1995 - 1997
Software/Data
PGLISSOM This package is a simulator for the PGLISSOM model of perceptual grouping and self-organization in the visual cortex. Th... 2002
SignalSim The SignalSim Spiking Neuron package is a Tcl/Tk GUI built on top of an event-driven simulator of an interconnected net... 2002
SOFM The SOFM package contains C- and TK/TCL-code (integrated through SWIG) for the standard feature map algorithm for formi... 2002
LISSOM

The LISSOM package contains the C++, Python, and Scheme source code and examples for training and testing firing-rate...

2001
DISLEX

This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...

1994
Demos
A Subsymbolic Model of Schizophrenic LanguageUli Grasemann2010
Handwritten Digit Recognition Utilizing Evolved Pattern GeneratorsVinod Valsalam2007
Labs
Neural Networks