Computational Neuroscience
Filter by Subareas
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. Our work in this area focuses on understanding the visual cortex, episodic and associative memory, language, and various brain disorders. Much of the research involves collaborations with neuroscientists and modeling behavioral, recordings, and imaging data.
     [Expand to show all 84][Minimize]
A Computational Account of Bilingual Aphasia Rehabilitation Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen Bilingualism: Language and Cognition, 16:325-342, 2013. 2013

Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Ja... Amishi P Jha, editors, Frontiers in Human Neuroscience, 6(00256), Sep 2012. 2012

Modeling Acute and Compensated Language Disturbance in Schizophrenia Uli Grasemann, Ralph Hoffman and Risto Miikkulainen In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 2011. 2011

Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikku... Biological Psychiatry, 69:997--1005, 2011. 2011

Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen In J Laaksonen and T. Honkela, editors, Proceedings of WSOM11, 8th Workshop on Self-Organizing Ma... 2011

Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova Journal of Mathematical Psychology, 54(1):109-122, 2010. 2010

A Computational Model of Language Pathology in Schizophrenia Uli Grasemann PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, December ... 2010

Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming Manish Saggar, Risto Miikkulainen, David Schnyer Journal of Brain Research, 1315:75--91, 2010. 2010

Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann Neuron, 64:943-956, 2009. 2009

Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia Uli Grasemann, Risto Miikkulainen and Ralph Hoffman In N. A. Taatgen and H. van Rijn, editors, Proceedings of the 31st Annual Meeting of the Cognitiv... 2009

Modeling the Bilingual Lexicon of an Individual Subject Risto Miikkulainen and Swathi Kiran In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin, 2009. Springer. 2009

Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing Yiu Fai Sit and Risto Miikkulainen Neural Computation, 21(3):762--785, March 2009. 2009

A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex Yiu Fai Sit PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. Techni... 2009

Dissociable prototype learning systems: Evidence from brain imaging and behavior Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer Journal of Neuroscience, 28(49):13194-13201, 2008. 2008

Memory Processes in Perceptual Decision Making Manish Saggar, Risto Miikkulainen, David M Schnyer In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2008

Category Learning Systems Dagmar Zeithamova PhD Thesis, Institute for Neuroscience, The University of Texas at Austin, 2008. 2008

Modeling the self-organization of color selectivity in the visual cortex Judah Ben De Paula PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2007. 2007

Developing Complex Systems Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:181-198, 2007. 2007

A Subsymbolic Model of Language Pathology in Schizophrenia Uli Grasemann, Risto Miikkulainen, Ralph Hoffman In Proceedings of the 29th Annual Conference of the Cognitive Science Society, 311-316, Hill... 2007

Effects of Acquisition Rate on Emergent Structure in Phonological Development Melissa A. Redford and Risto Miikkulainen Language:737-769, 2007. 2007

A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes Yiu Fai Sit and Risto Miikkulainen Neurocomputing:1853-1857, 2007. 2007

System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen In Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, August... 2007

Semantic Boost on Episodic Associations: An Empirically Based Computational Model Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen Cognitive Science, 31:645--671, 2007. 2007

Self-Organization of Hierarchical Visual Maps with Feedback Connections Yiu Fai Sit and Risto Miikkulainen Neurocomputing, 69:1309-1312, 2006. 2006

Establishing an Appropriate Learning Bias Through Development Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006),... 2006

Converting RGB Images to LMS Cone Activations Judah B. De Paula Technical Report, Department of Computer Sciences, The University of Texas at Austin, 2006. Technica... 2006

Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1 Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen Neurocomputing, 69:1291--1296, 2006. 2006

Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1 James A. Bednar and Risto Miikkulainen Neurocomputing, 69:1272--1276, 2006. 2006

Constructing Visual Function Through Prenatal and Postnatal Learning James A. Bednar and Risto Miikkulainen In Denis Mareschal and Mark H. Johnson and Sylvain Sirois and Michael Spratling and Michael S. C. Th... 2005

Self-organization of color opponent receptive fields and laterally connected orientation maps James A. Bednar, Judah B. De Paula, and Risto Miikkulainen Neurocomputing, 65--66:69-76, 2005. 2005

Constructing Good Learners Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In H.-G. Beyer and others, editors, Proceedings of the Genetic and Evolutionary Computation Confe... 2005

Prenatal and Postnatal Development of Laterally Connected Orientation Maps James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 2004, 58-60, 985-992, 2004. 2004

Modeling Cortical Maps with Topographica James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tvers... In Computational Neuroscience: Trends in Research, 2004, 1129-1135, 2004. 2004

Contour Integration and Segmentation with Self-Organized Lateral Connections Yoonsuck Choe and Risto Miikkulainen Biological Cybernetics 90:75-88 2004

Learning Innate Face Preferences James A. Bednar and Risto Miikkulainen Neural Computation, 15(7):1525-1557, 2003. 2003

The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences James A. Bednar In Olivier Pascalis and Alan Slater, editors, Face Perception in Infancy and Early Childhood,... 2003

Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 2003, 52--54, 473-480, 2003. 2003

Neonatal Learning Of Faces: Environmental And Genetic Influences James A. Bednar and Risto Miikkulainen In Proceedings of the 24th Annual Conference of the Cognitive Science Society, 107-112, 2002. 2002

Modeling Large Cortical Networks With Growing Self-Organizing Maps James A. Bednar, Amol Kelkar, and Risto Miikkulainen In Computational Neuroscience, 44--46, 315-321, 2002. 2002

Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps Tal Tversky and Risto Miikkulainen Neurocomputing, 44--46:679--684, 2002. Also in J. M. Bower (editor), Computational Neuroscien... 2002

Text and Discourse Understanding: The DISCERN System Risto Miikkulainen In R. Dale, H. Moisl and H. Somers, editors, A Handbook of Natural Language Processing: Technique... 2002

Learning to See: Genetic and Environmental Influences on Visual Development James A. Bednar PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, May 2002. Also Techn... 2002

Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons Yoonsuck Choe PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2001. 13... 2001

Scaling Self-Organizing Maps To Model Large Cortical Networks James A. Bednar, Amol Kelkar, and Risto Miikkulainen Neuroinformatics:275-302, 2001. 2001

Semantic Effect On Episodic Associations Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 934-939, 2001... 2001

Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning? James A. Bednar and Risto Miikkulainen In Proceedings of the 17th National Conference on Artificial Intelligence and the 12th Annual Con... 2000

Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex James A. Bednar and Risto Miikkulainen Neural Computation, 12:1721-1740, 2000. 2000

Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack Neurocomputing, 32--33:77-82, 2000. 2000

A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing Yoonsuck Choe and Risto Miikkulainen Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000, Aust... 2000

Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep James A. Bednar In S. Harnad and E. Pace-Schott and M. Blagrove and M. Solms, editors, Sleep and Dreaming: Scient... 2000

Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory Michael Howe and Risto Miikkulainen Neurocomputing, 32--33:817--821, 2000. Also J. M. Bower (editor), Computational Neuroscience:... 2000

Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex Igor Farkas and Risto Miikkulainen In Erkki Oja and Samuel Kaski, editors, Proceedings of the Ninth International Conference on Arti... 1999

Pattern-Generator-Driven Development In Self-Organizing Models James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 1998, 317-323, 1998. 1998

Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons Yoonsuck Choe and Risto Miikkulainen Neurocomputing:139-157, 1998. 1998

A Self-Organizing Neural Network Model of the Primary Visual Cortex Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh In S. Usui, T. Omori, editors, Proceedings of the Fifth International Conference on Neural Inform... 1998

Self-Organization And Segmentation With Laterally Connected Spiking Neurons Yoonsuck Choe and Risto Miikkulainen In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) 1997

Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon Risto Miikkulainen Brain and Language:334-366, 1997. 1997

Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh In R. L. Goldstone and P. G. Schyns and D. L. Medin, editors, Perceptual Learning, Psychology... 1997

Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex James A. Bednar Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1997... 1997

Convergence-Zone Episodic Memory: Analysis And Simulations Mark Moll and Risto Miikkulainen Neural Networks, 10:1017--1036, 1997. 1997

Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen In David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo, editors, Advances in Neural ... 1996

Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses Risto Miikkulainen Cognitive Science, 20:47-73, 1996. 1996

Lateral Interactions In The Cortex: Structure And Function Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors) Electronic book, ISBN 0-9647060-0-8, http://nn.cs.utexas.edu/web-pubs/htmlbook96/. Austin, TX: The U... 1996

Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen Neural Processing Letters, 3:39-48, 1996. 1996

Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen Neural Computation, 9:577-594, 1996. 1996

Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex Joseph Sirosh, Risto Miikkulainen and James A. Bednar In Joseph Sirosh and Risto Miikkulainen and Yoonsuck Choe, editors, {P}roceedings of the {I}nter... 1996

Introduction: The Emerging Understanding of Lateral Interactions in the Cortex Risto Miikkulainen and Joseph Sirosh In Sirosh, J., Miikkulainen, R., and Choe, Y., editors, Lateral Interactions in the Cortex: Struc... 1996

Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network Justine Blackmore and Risto Miikkulainen In Armand Prieditis and Stuart Russell, editors, Machine Learning: Proceedings of the 12th Annual... 1995

Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition Yoonsuck Choe Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995

A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl Andrea Haessly, Joseph Sirosh and Risto Miikkulainen In Proceedings of the 17th Annual Conference of the Cognitive Science Society, 154-158, 1995.... 1995

Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing Risto Miikkulainen Applied Intelligence:137-163, 1995. 1995

A Self-Organizing Neural Network Model Of The Primary Visual Cortex Joseph Sirosh PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995. Te... 1995

Modeling Cortical Plasticity Based On Adapting Lateral Interaction Joseph Sirosh and Risto Miikkulainen In James M. Bower, editors, The Neurobiology of Computation: {T}he Proceedings of the Third Annu... 1995

Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen In Gerald Tesauro and David S. Touretzky and Todd K. Leen, editors, Advances in Neural Informatio... 1995

The Capacity Of Convergence-Zone Episodic Memory Mark Moll, Risto Miikkulainen, Jonathan Abbey In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 68-73... 1994

Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps Joseph Sirosh and Risto Miikkulainen Biological Cybernetics:66-78, 1994. 1994

Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance Joseph Sirosh and Risto Miikkulainen In M. C. Mozer and P. Smolensky and D. S. Touretzky and J. L. Elman and A. S. Weigend, editors, ... 1994

Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations Risto Miikkulainen Honavar, V., and Uhr, L., editors, Artificial Intelligence and Neural Networks: Steps Toward Prin... 1994

Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory Risto Miikkulainen , Cambridge, MA, 1993. MIT Press. 1993

How Lateral Interaction Develops In A Self-Organizing Feature Map Joseph Sirosh and Risto Miikkulainen In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), 1... 1993

Trace Feature Map: A Model Of Episodic Associative Memory Risto Miikkulainen Biological Cybernetics, 66:273--282, 1992. 1992

A Neural Network For Attentional Spotlight Wee Kheng Leow and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks (Singapore)(AI91-165)... 1991

Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution Risto Miikkulainen In Teuvo Kohonen and Kai M{"a}kisara and Olli Simula and Jari Kangas, editors, Proceedings of the... 1991

DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory Risto Miikkulainen PhD Thesis, University of California, 1990. 334. 1990

     [Expand to show all 30][Minimize]
Jonathan Abbey Undergraduate Alumni jonabbey [at] arlut utexas edu
James A. Bednar Postdoctoral Alumni jbednar [at] inf ed ac uk
Shlomo Bentin Collaborator shlomo bentin [at] huji ac il
Yoonsuck Choe Ph.D. Alumni choe [at] tamu edu
Christopher Clark Undergraduate Alumni
Judah De Paula Ph.D. Alumni
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Peggy Fidelman Former Ph.D. Student
Wilson S. Geisler Former Collaborator geisler [at] psy utexas edu
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Andrea Haessly Masters Alumni
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Michael Howe Undergraduate Alumni
Stefanie Jegelka Former Visitor stefje [at] eecs berkeley edu
Amol Kelkar Masters Alumni
Swathi Kiran Collaborator kirans [at] bu edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Former Visitor "last name" at isi edu
Enrique Muro Former Visitor
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Manish Saggar Ph.D. Alumni mishu [at] cs utexas edu
Clifford Saron Collaborator cdsaron [at] ucdavis edu
Eyal Seidemann Former Collaborator eyal [at] mail cps utexas edu
Yaron Silberman Ph.D. Alumni yarons [at] alice nc huji ac il
Joseph Sirosh Ph.D. Alumni joseph sirosh [at] gmail com
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Tal Tversky Ph.D. Alumni tal [at] cs utexas edu
Vinod Valsalam Ph.D. Alumni vkv [at] alumni utexas net
Hong Ming Yeh Former Ph.D. Student hongming [at] cs utexas edu
Dasa Zeithamova Former Collaborator zeithamova [at] mail utexas edu
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

HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994

DISCERN DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ... 1993