Cognitive Science
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Cognitive Science attempts to build computational models of human (and animal) cognitive processes in order to improve our understanding of natural intelligent systems. Such an understanding then forms a foundation for developing more intelligent artificial systems. Our work focuses on subsymbolic (neural network) models of language, memory, perception, and concept and schema learning, with a particular emphasis on understanding the breakdown of these processes in various disorders.
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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

Believable Bot Navigation via Playback of Human Traces Igor V. Karpov, Jacob Schrum, Risto Miikkulainen In Philip F. Hingston, editors, Believable Bots, 151--170, 2012. Springer Berlin Heidelberg. 2012

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

The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution Yonatan Bisk Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin, 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

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

Motion Perception and the Scene Statistics of Motion Tal Tversky PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 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

Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization Marshall R. Mayberry III and Risto Miikkulainen Technical Report AI08-12, Department of Computer Sciences, University of Texas at Austin, Austin, TX... 2008

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

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

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-Organizing Distinctive State Abstraction Using Options Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007. 2007

A computational model of the motivation-learning interface Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen In Proceedings of the 29th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2007

The Effect of Delivery Method on Conceptual and Strategy Development Lisa C. Kaczmarczyk, Mary Z. Last, Risto Miikkulainen In Proceedings of the 28th Annual Conference of the Cognitive Science Society, 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

Grounding Language in Descriptions of Scenes Paul Williams and Risto Miikkulainen In Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 2006. 2006

Learning Visual Scene Descriptions: An Approach to Symbol Grounding Paul Williams Technical Report TR-06-01, Department of Computer Science, The University of Texas at Austin, 2005. 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

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

The Acquisition of Intellectual Expertise: A Computational and Empirical Theory Elizabeth C. Kaczmarczyk PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2005. 2005

Broad-Coverage Parsing with Neural Networks Marshall R. Mayberry III and Risto Miikkulainen Neural Processing Letters, 21:121--143, 2005. 2005

A Subsymbolic Model of Complex Story Understanding Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman In Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2005. 2005

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

Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen In AAAI-04 Workshop on Learning and Planning in Markov Processes, 2004. 2004

The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots Harold H. Chaput PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, August 2004. Also Te... 2004

The Acquisition of Intellectual Expertise: A Computational Model Elizabeth C. Kaczmarczyk, Risto Miikkulainen In Proceedings of the 26th Annual Conference of the Cognitive Science Society, 2004. 2004

Contour grouping: closure effects are explained by good continuation and proximity Tal Tversky, Wilson S. Geisler and Jeffrey S. Perry Vision Research, 44(24):2769--2777, 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

Incremental Nonmonotonic Parsing through SemanticSelf-Organization Marshall R. Mayberry III and Risto Miikkulainen In Proceedings of the 25th Annual Conference of the Cognitive Science Society, 2003. 2003

Incremental Nonmonotonic Parsing through Semantic Self-Organization Marshall R. Mayberry III PhD Thesis, Department of Computer Sciences, the University of Texas at Austin, Austin, TX, 2003. Te... 2003

Constructivist Learning: A Neural Implementation of the Schema Mechanism Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan, 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

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

A Model Of Infant Causal Perception And Its Development Harold H. Chaput and Leslie B. Cohen In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 182-187, 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

Constrained Emergence Of Universals And Variation In Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen Language and Speech:27-56, 2001. Manuscript. 2001

Abrupt And Gradual Sound Change In An Expanding Lexicon Melissa A. Redford and Risto Miikkulainen Technical Report AI01-289, Department of Computer Sciences, The University of Texas at Austin, 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

Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers In AAAI Spring Symposium Series, Learning Grounded Representations, 2001. 2001

Post-Piagetian constructivism for grounded knowledge acquisition Harold H. Chaput In Proceedings of the AAAI Spring Symposium Series on Grounded Knoweldge, Palo Alto, CA, 2001... 2001

From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences Bobby D. Bryant and Risto Miikkulainen Technical Report AI98-274, AI Lab, University of Texas at Austin, Austin, TX, June 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

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

Neuro-Evolution And Natural Deduction Nirav S. Desai and Risto Miikkulainen In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neu... 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

SARDSRN: A Neural Network Shift-Reduce Parser Marshall R. Mayberry III and Risto Miikkulainen In Proceedings of the 16th Annual International Joint Conference on Artificial Intelligence (IJCA... 1999

Using a Sequential SOM to Parse Long-Term Dependencies Marshall R. Mayberry III and Risto Miikkulainen In Martin Hahn and Scott C. Stoness, editors, Proceedings of the 21st Annual Conference of the Co... 1999

Disambiguation And Grammar As Emergent Soft Constraints Risto Miikkulainen and Marshall R. Mayberry III In Brian J. MacWhinney, editors, Workshop on Thought and Language, 20-31, Iizuka, Japan, 1999... 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

Modeling The Emergence Of Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen In Morton Ann Gernsbacher and Sharon J. Derry, editors, Proceedings of the 20th Annual Conference... 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

Visual Schemas In Neural Networks For Object Recognition And Scene Analysis Wee Kheng Leow, Risto Miikkulainen In Michael A. Arbib, editors, The Handbook of Brain Theory and Neural Networks, 1029-1031, Ca... 1997

Natural Language Processing With Subsymbolic Neural Networks Risto Miikkulainen In Antony Browne, editors, Neural Network Perspectives on Cognition and Adaptive Robotics, 12... 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

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

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

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

Visualizing High-Dimensional Structure with the Incremental Grid Growing Network Justine Blackmore Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995

Visual Schemas In Object Recognition And Scene Analysis Risto Miikkulainen and Wee Kheng Leow In M. A. Arbib, editors, The Handbook of Brain Theory and Neural Networks, 1029--1031, Cambri... 1995

SARDNET: A Self-Organizing Feature Map For Sequences Daniel L. James and Risto Miikkulainen In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processin... 1995

Grounding Robotic Control With Genetic Neural Networks Diane Law and Risto Miikkulainen Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994

A Connectionist Corpus-Based Approach to the Building of Word Representations Rupert L. Tang Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin, 1994. 1994

Searle, Subsymbolic Functionalism And Synthetic Intelligence Diane Law Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 19... 1994

VISOR: Learning Visual Schemas In Neural Networks For Object Recognition And Scene Analysis Wee Kheng Leow PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, June 199... 1994

Priming, Perceptual Reversal, And Circular Reaction In A Neural Network Model Of Schema-Based Vision Wee Kheng Leow and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 1994

Representing And Learning Visual Schemas In Neural Networks For Scene Analysis Wee Kheng Leow and Risto Miikkulainen In Proceedings of the Workshop on Neural Architectures and Distributed {AI}: {F}rom Schema Assemb... 1994

Lexical Disambiguation Based on Distributed Representations of Context Frequency Marshall R. Mayberry III and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 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

Verb Inflections in German Child Language: A Connectionist Account Gert Westermann and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 1994

VISOR: Schema-Based Scene Analysis With Structured Neural Networks Wee Kheng Leow and Risto Miikkulainen Neural Processing Letters, 1:18--23, 1994. 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

Multi-Level Neural Network Language Translator James A. Bednar Technical Report HR-93-01, Department of Computer Sciences, The University of Texas at Austin, 1993. 1993

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

Representing Visual Schemas in Neural Networks for Scene Analysis Wee Kheng Leow and Risto Miikkulainen In Proceedings of the IEEE Conference on Neural Networks (ICNN-93), 1612-1617, San Francisco,... 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

Natural Language Processing With Modular PDP Networks And Distributed Lexicon Risto Miikkulainen and Michael G. Dyer Cognitive Science, 15:343-399, 1991. 1991

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

Script Recognition With Hierarchical Feature Maps Risto Miikkulainen Connection Science, 2:83-101, 1990. 1990

A PDP Architecture For Processing Sentences With Relative Clauses Risto Miikkulainen In Proceedings of the 13th International Conference on Computational Linguistics (COLING-90),... 1990

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Jonathan Abbey Undergraduate Alumni jonabbey [at] arlut utexas edu
Nora E. Aguirre-Celis Ph.D. Student naguirre [at] cs utexas edu
James A. Bednar Postdoctoral Alumni jbednar [at] inf ed ac uk
Shlomo Bentin Collaborator shlomo bentin [at] huji ac il
Dennis J. A. Bijwaard Former Visitor
Yonatan Bisk Undergraduate Alumni ybisk [at] yo-tech com
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Chun-Chi Chen Undergraduate Alumni
Yoonsuck Choe Ph.D. Alumni choe [at] tamu edu
Judah De Paula Ph.D. Alumni
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Eliana Feasley Former Ph.D. Student elie [at] cs utexas edu
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
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Kay E. Holekamp Collaborator holekamp [at] msu edu
Michael Howe Undergraduate Alumni
Daniel L. James Undergraduate Alumni
Lisa C. Kaczmarczyk Ph.D. Alumni lisakacz [at] gmail com
Igor V. Karpov Ph.D. Student ikarpov [at] gmail com
Swathi Kiran Collaborator kirans [at] bu edu
Joel Lehman Postdoctoral Fellow joel [at] cs utexas edu
Wee Kheng Leow Ph.D. Alumni leowwk [at] comp nus edu sg
Marshall R. Mayberry III Ph.D. Alumni martym at coli dot uni-sb dot
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Former Visitor "last name" at isi edu
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Melissa Redford Postdoctoral Alumni redford [at] cs utexas edu
Manish Saggar Ph.D. Alumni mishu [at] cs utexas edu
Clifford Saron Collaborator cdsaron [at] ucdavis edu
Yaron Silberman Ph.D. Alumni yarons [at] alice nc huji ac il
Joseph Sirosh Ph.D. Alumni joseph sirosh [at] gmail com
Lappoon R. Tang Undergraduate Alumni ltang [at] utb edu
Rick Tanney Masters Alumni
Tal Tversky Ph.D. Alumni tal [at] cs utexas edu
Vinod Valsalam Ph.D. Alumni vkv [at] alumni utexas net
Gert Westermann Former Visitor gwestermann [at] brookes ac uk
Paul Williams Undergraduate Alumni pwilly [at] cs utexas edu
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

LISSOM

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

2001

MIR Sentence Processing Package The MIR Sentence Processing package contains the C source code for the MIR system, as well as a selection of scripts wi... 1998

DISLEX

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

1994

FGREPNET The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re... 1994

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

PROC The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste... 1994

SPEC The SPEC package contains the C-code and data for training and testing the SPEC system for processing complex sentences ... 1994

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