neural networks research group
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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. 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.
Subareas of Computational Neuroscience
Visual Cortex Memory Neuroimaging Brain and Cognitive Disorders
Publications
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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
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
Modeling Acute and Compensated Language Disturbance in Schizophrenia Uli Grasemann, Ralph Hoffman and Risto Miikkulainen To Appear In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 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
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
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
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
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
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
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
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
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
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
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 Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes Yiu Fai Sit and Risto Miikkulainen Neurocomputing:1853-1857, 2007. 2007
Effects of Acquisition Rate on Emergent Structure in Phonological Development Melissa A. Redford and Risto Miikkulainen Language:737-769, 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
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
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
Self-Organization of Hierarchical Visual Maps with Feedback Connections Yiu Fai Sit and Risto Miikkulainen Neurocomputing, 69:1309-1312, 2006. 2006
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
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
Contour Integration and Segmentation with Self-Organized Lateral Connections Yoonsuck Choe and Risto Miikkulainen Biological Cybernetics 90:75-88 2004
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
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
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
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
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
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
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
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
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
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
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
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 In A Laterally Connected Orientation Map Of Spiking Neurons Yoonsuck Choe and Risto Miikkulainen Neurocomputing:139-157, 1998. 1998
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
Convergence-Zone Episodic Memory: Analysis And Simulations Mark Moll and Risto Miikkulainen Neural Networks, 10:1017--1036, 1997. 1997
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
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
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
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
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 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
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses Risto Miikkulainen Cognitive Science, 20:47-73, 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
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
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
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
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing Risto Miikkulainen Applied Intelligence:137-163, 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
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
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
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
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
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
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
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
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory Risto Miikkulainen PhD Thesis, University of California, 1990. 334. 1990
People
     [Expand to show all 17][Minimize]
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
Projects
     [Expand to show all 11][Minimize]
Demos
A Subsymbolic Model of Schizophrenic LanguageUli Grasemann2010
Handwritten Digit Recognition Utilizing Evolved Pattern GeneratorsVinod Valsalam2007
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
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