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.
Subareas:
People
     [Expand to show all 31][Minimize]
James A. Bednar Postdoctoral Alumni jbednar [at] inf ed ac uk
Shlomo Bentin Formerly affiliated Collaborator shlomo bentin [at] huji ac il
Chloe Chen Ph.D. Student
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
Wilson S. Geisler Formerly affiliated Collaborator geisler [at] psy utexas edu
Andrea Haessly Masters Alumni
Ralph E. Hoffman Formerly affiliated Collaborator ralph hoffman [at] yale edu
Michael Howe Undergraduate Alumni
Stefanie Jegelka Formerly affiliated Visitor stefje [at] eecs berkeley edu
Leslie M. Kay Formerly affiliated Collaborator
Amol Kelkar Masters Alumni
Swathi Kiran Collaborator kirans [at] bu edu
Kaitlin Maile Formerly affiliated Ph.D. Student kmaile [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Formerly affiliated Visitor "last name" at isi edu
Enrique Muro Formerly affiliated Visitor
Claudia Penaloza Collaborator claudia_penaloza [at] ub edu
Manish Saggar Ph.D. Alumni saggar [at] stanford edu
Clifford Saron Formerly affiliated Collaborator cdsaron [at] ucdavis edu
Eyal Seidemann Formerly affiliated 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
Rick Tanney Masters Alumni
Tal Tversky Ph.D. Alumni tal [at] cs utexas edu
Vinod Valsalam Ph.D. Alumni vkv [at] alumni utexas net
Margaret von Ebers Masters Student mvonebers [at] utexas edu
Jamieson Warner Ph.D. Student jamiesonwarner [at] utexas edu
Publications
     [Expand to show all 93][Minimize]
Modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan (Commentary) 2023
Claudia Penaloza, Uli Grasemann, Risto Miikkulainen, Swathi Kiran, Language Learning, Vol. . (2023). https://doi.org/10.1111/lang.12566.
What AI Can Do for Neuroscience: Understanding How the Brain Represents Word Meanings 2023
Nora Aguirre-Celis and Risto Miikkulainen, In What AI Can Do: Strengths and Limitations of Artificial Intelligence, Manuel Cebral-Loureda, Elvira G. Rincon-Flores, and Gildardo Sanchez-Ante (Eds.), pp. 401-417, 2023. CRC Press.
Biological Underpinnings of Lifelong Learning Machines 2022
D. Kudithipudi, M. Aguilar-Simon, J. Babb, M. Bazhenov, D. Blackiston, J. Bongard, A. P. Brna, S. C. Raja, N. Cheney, J. Clune, A. Daram, S. Fusi, P. Helfer, L. Kay, N. Ketz, Z. Kira, S. Kolouri, J. L. Krichmar, S. Kriegman, M. Levin, S. Madireddy, S. Manicka, A. Marjaninejad, B. McNaughton, R. Miikkulainen, Z. Navratilova, T. Pandit, A. Parker, P. K. Pilly, S. Risi, T. J. Sejnowski, A. Soltoggio, N. Soures, A. S. Tolias, D. Urbina-Melendez, F. J. Valero-Cuevas, G. M. van de Ven, J. T. Vogelstein, F. Wang, R. Weiss, A. Yanguas-Gil, Z. Zou, H. Siegelman, Nature Machine Intelligence, Vol. 4 (2022).
Constructing Individualized Computational Models for Dementia Patients 2022
Peggy Fidelman, Uli Grasemann, Claudia Penaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen, In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022.
From Words to Sentences and Back: Characterizing Context-dependent Meaning Representations in the Brain 2021
Nora Aguirre-Celis a.k.a. Nora E. Aguirre Sampayo, PhD Thesis, Instituto Tecnologico y de Estudios Superiores de Monterrey.
Predicting language treatment response in bilingual aphasia using neural network-based patient models 2021
Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran , Scientific Reports, Vol. 11, 10497 (2021), pp. 1-11.
Characterizing Dynamic Word Meaning Representations in the Brain 2020
Nora Aguirre-Celis and Risto Miikkulainen, In Proceedings of the 6th Workshop on Cognitive Aspects of the Lexicon (CogALex-VI), Barcelona, ES, December 2020.
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior 2020
Nora Aguirre-Celis and Risto Miikkulainen, arXiv:2007.13840 (2020).
BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access 2019
Claudia Peñaloza, Uli Grasemann, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran, Brain and Language, Vol. 195, 104643 (2019).
Evolutionary Optimization of Neural-Network Models of Human Behavior 2019
Uli Grasemann, Risto Miikkulainen, Claudia Peñaloza, Maria Dekhtyar, and Swathi Kiran, Proceedings of the International Conference on Cognitive Modeling (2019).
Implementing evolutionary optimization to model resting state functional connectivity 2019
Kaitlin Maile, Risto Miikkulainen, and Manish Saggar, In Society for Neuroscience Abstracts, 2019. Society for Neuroscience.
Quantifying the Conceptual Combination Effect on Word Meanings 2019
Nora Aguirre-Celis and Risto Miikkulainen, In Proceedings of the 41th Annual Meeting of the Cognitive Science Society, Montreal, CA, July 2019.
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain 2018
Nora Aguirre-Celis and Risto Miikkulainen, In Brain Informatics. BI 2018. Lectures Notes in Computer Sciences, Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Eric Jones, Leon Iasemidis, Tom Mitchell (Eds.), Vol. 11309, pp. 129-14...
From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain 2017
Nora Aguirre-Celis, Manuel Valenzuela, and Risto Miikkulainen, In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK, July 2017.
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training 2015
Manish Saggar, Anthony P. Zanesco, Brandon G. King, David A. Bridwell, Katherine A. MacLean, Stephen R. Aichele, Tonya L. Jacobs, B. Alan Wallace, Clifford D. Saron, Risto Miikkulainen, NeuroImage, Vol. 114 (2015), pp. 88-104. Elsevier.
A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen, Bilingualism: Language and Cognition, Vol. 16 (2013), pp. 325-342.
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, Frontiers in Human NeuroscienceAmishi P Jha (Eds.), Vol. 6, 00256 (2012).
Computational Analysis of Meditation 2011
Manish Saggar, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen, In Proceedings of WSOM11, 8th Workshop on Self-Organizing Maps, LNCS 6731, J Laaksonen and T. Honkela (Eds.), pp. 207--217, Espoo, Finland 2011. Springer Verlag.
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen, In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society 2011.
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen, Biological Psychiatry, Vol. 69 (2011), pp. 997--1005.
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann, PhD Thesis, Department of Computer Science, The University of Texas at Austin. 147 pages. Technical report TR-11-11.
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming 2010
Manish Saggar, Risto Miikkulainen, David Schnyer, Journal of Brain Research, Vol. 1315 (2010), pp. 75--91.
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, Journal of Mathematical Psychology, Vol. 54, 1 (2010), pp. 109-122.
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit, PhD Thesis, Department of Computer Sciences, University of Texas at Austin. Technical Report AI09-06.
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, Neuron, Vol. 64 (2009), pp. 943-956.
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing 2009
Yiu Fai Sit and Risto Miikkulainen, Neural Computation, Vol. 21, 3 (2009), pp. 762--785.
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 31st Annual Meeting of the Cognitive Science Society, N. A. Taatgen and H. van Rijn (Eds.), Amsterdam, The Netherlands 2009.
Modeling the Bilingual Lexicon of an Individual Subject 2009
Risto Miikkulainen and Swathi Kiran, In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin 2009. Springer.
Category Learning Systems 2008
Dagmar Zeithamova, PhD Thesis, Institute for Neuroscience, The University of Texas at Austin.
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer, Journal of Neuroscience, Vol. 28, 49 (2008), pp. 13194-13201.
Memory Processes in Perceptual Decision Making 2008
Manish Saggar, Risto Miikkulainen, David M Schnyer, In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN 2008.
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes 2007
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing (2007), pp. 1853-1857.
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
Developing Complex Systems Using Evolved Pattern Generators 2007
Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2007), pp. 181-198.
Effects of Acquisition Rate on Emergent Structure in Phonological Development 2007
Melissa A. Redford and Risto Miikkulainen, Language (2007), pp. 737-769.
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks 2007
Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen, In Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, August 2007.
Converting RGB Images to LMS Cone Activations 2006
Judah B. De Paula, Technical Report, Department of Computer Sciences, The University of Texas at Austin. Technical Report 06-49.
Establishing an Appropriate Learning Bias Through Development 2006
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen, In Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006) 2006.
Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1 2006
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1272--1276.
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1 2006
Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1291--1296.
Self-Organization of Hierarchical Visual Maps with Feedback Connections 2006
Yiu Fai Sit and Risto Miikkulainen, Neurocomputing, Vol. 69 (2006), pp. 1309-1312.
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations 2005
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin, Psychological Science, Vol. 16 (2005), pp. 161-166.
Constructing Good Learners Using Evolved Pattern Generators 2005
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, H.-G. Beyer and others (Eds.), pp. 11-18 2005.
Constructing Visual Function Through Prenatal and Postnatal Learning 2005
James A. Bednar and Risto Miikkulainen, In Neuroconstructivism, Vol. 2: Perspectives and Prospects, Denis Mareschal and Mark H. Johnson and Sylvain Sirois and Michael Spratling and Michael S. C. Thomas and Gert Westermann (Eds.), pp....
Self-organization of color opponent receptive fields and laterally connected orientation maps 2005
James A. Bednar, Judah B. De Paula, and Risto Miikkulainen, Neurocomputing, Vol. 65--66 (2005), pp. 69-76.
Characteristics of Forming Episodic Associations Between Words 2004
Yaron Silberman, PhD Thesis, The Hebrew University of Jerusalem.
Contour Integration and Segmentation with Self-Organized Lateral Connections 2004
Yoonsuck Choe and Risto Miikkulainen, Biological Cybernetics 90:75-88
Modeling Cortical Maps with Topographica 2004
James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky, Neurocomputing (2004), pp. 1129-1135.
Prenatal and Postnatal Development of Laterally Connected Orientation Maps 2004
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 58-60 (2004), pp. 985-992.
Learning Innate Face Preferences 2003
James A. Bednar and Risto Miikkulainen, Neural Computation, Vol. 15, 7 (2003), pp. 1525-1557.
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps 2003
James A. Bednar and Risto Miikkulainen, Neurocomputing, Vol. 52--54 (2003), pp. 473-480.
The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences 2003
James A. Bednar, In Face Perception in Infancy and Early Childhood, Olivier Pascalis and Alan Slater (Eds.), pp. 133-142, New York 2003. NOVA Science Publishers.
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony 2003
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing, Vol. 52-54 (2003), pp. 707-712.
Learning to See: Genetic and Environmental Influences on Visual Development 2002
James A. Bednar, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Also Technical Report AI-TR-02-294.
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps 2002
Tal Tversky and Risto Miikkulainen, Neurocomputing, Vol. 44--46 (2002), pp. 679--684. Also in J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2002 (CNS*01, Pacific Grove, CA). New York: Elsevier.
Modeling Large Cortical Networks With Growing Self-Organizing Maps 2002
James A. Bednar, Amol Kelkar, and Risto Miikkulainen, Neurocomputing, Vol. 44--46 (2002), pp. 315-321.
Neonatal Learning Of Faces: Environmental And Genetic Influences 2002
James A. Bednar and Risto Miikkulainen, In Proceedings of the 24th Annual Conference of the Cognitive Science Society, pp. 107-112 2002.
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons 2001
Yoonsuck Choe, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 133. Technical Report AI01-292.
Scaling Self-Organizing Maps To Model Large Cortical Networks 2001
James A. Bednar, Amol Kelkar, and Risto Miikkulainen, Neuroinformatics (2001), pp. 275-302.
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing 2000
Yoonsuck Choe and Risto Miikkulainen, Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000, Austin, TX), 123-128. Cambridge, MA: MIT Press, 2000
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation 2000
Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack, Neurocomputing, Vol. 32--33 (2000), pp. 77-82.
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory 2000
Michael Howe and Risto Miikkulainen, Neurocomputing, Vol. 32--33 (2000), pp. 817--821. Also J. M. Bower (editor), Computational Neuroscience: Trends in Research, 2000 (CNS*99, Pittsburgh, PA). New York: Plenum Press..
Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep 2000
James A. Bednar, Behavioral and Brain SciencesS. Harnad and E. Pace-Schott and M. Blagrove and M. Solms (Eds.) (2000), pp. 119-120. Cambridge University Press. Commentary on the 'Sleep and Dreaming' issue..
Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning? 2000
James A. Bednar and Risto Miikkulainen, In Proceedings of the 17th National Conference on Artificial Intelligence and the 12th Annual Conference on Innovative Applications of Artificial Intelligence, pp. 117-122 2000.
Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex 2000
James A. Bednar and Risto Miikkulainen, Neural Computation, Vol. 12 (2000), pp. 1721-1740.
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex 1999
Igor Farkas and Risto Miikkulainen, In Proceedings of the Ninth International Conference on Artificial Neural Networks, Erkki Oja and Samuel Kaski (Eds.), pp. 251-256, Amsterdam 1999. Elsevier.
A Self-Organizing Neural Network Model of the Primary Visual Cortex 1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh, In Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Volume 2, S. Usui, T. Omori (Eds.), pp. 815-818, Kitakyushu, Japan 1998.
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons 1998
Yoonsuck Choe and Risto Miikkulainen, Neurocomputing (1998), pp. 139-157.
Convergence-Zone Episodic Memory: Analysis And Simulations 1997
Mark Moll and Risto Miikkulainen, Neural Networks, Vol. 10 (1997), pp. 1017--1036.
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon 1997
Risto Miikkulainen, Brain and Language (1997), pp. 334-366.
Reflections in Silicon: Artificial and Natural Neural Networks 1997
Rick W. Tanney, Masters Thesis, Department of Philosophy, the University of Texas at Austin.
Self-Organization And Segmentation With Laterally Connected Spiking Neurons 1997
Yoonsuck Choe and Risto Miikkulainen, In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 1120-1125, Nagoya, Japan 1997. San Francisco: Kaufmann.
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, In Perceptual Learning, R. L. Goldstone and P. G. Schyns and D. L. Medin (Eds.), pp. 257-308 1997.
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex 1997
James A. Bednar, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI97-259.
A Neural Network Model of Topographic Reorganization Following Cortical Lesions 1996
Joseph Sirosh and Risto Miikkulainen, In Computational Medicine, Public Health and Biotechnology: Building a Man in the Machine - Proceedings of the First World Congress Part II, M. Witten (Eds.), pp. 887-901, 1996. Teaneck, NJ: ...
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex 1996
Risto Miikkulainen and Joseph Sirosh, In Lateral Interactions in the Cortex: Structure and Function, Sirosh, J., Miikkulainen, R., and Choe, Y. (Eds.) 1996. Electronic book, http://nn.cs.utexas.edu/web-pubs/htmlbook96.
Lateral Interactions In The Cortex: Structure And Function 1996
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 UTCS Neural Networks Research Group
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen, Neural Processing Letters, Vol. 3 (1996), pp. 39-48.
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, In {P}roceedings of the {I}nternational {C}onference {on} {A}rtificial {N}eural {N}etworks, Joseph Sirosh and Risto Miikkulainen and Yoonsuck Choe (Eds.), pp. 1147-1152, Berlin 1996. Springer...
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen, Neural Computation, Vol. 9 (1996), pp. 577-594.
A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl 1995
Andrea Haessly, Joseph Sirosh and Risto Miikkulainen, In Proceedings of the 17th Annual Conference of the Cognitive Science Society, pp. 154-158 1995. Hillsdale, NJ: Erlbaum.
A Self-Organizing Neural Network Model Of The Primary Visual Cortex 1995
Joseph Sirosh, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI95-237.
Modeling Cortical Plasticity Based On Adapting Lateral Interaction 1995
Joseph Sirosh and Risto Miikkulainen, In The Neurobiology of Computation: {T}he Proceedings of the Third Annual Computation and Neural Systems Conference, James M. Bower (Eds.), pp. 305-310 1995.
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex 1995
Joseph Sirosh and Risto Miikkulainen, In Advances in Neural Information Processing Systems 7, Gerald Tesauro and David S. Touretzky and Todd K. Leen (Eds.), pp. 109-116 1995. Cambridge, MA: MIT Press.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen, In Machine Learning: Proceedings of the 12th Annual Conference, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps 1994
Joseph Sirosh and Risto Miikkulainen, Biological Cybernetics (1994), pp. 66-78.
Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance 1994
Joseph Sirosh and Risto Miikkulainen, In Proceedings of the 1993 Connectionist Models Summer School, M. C. Mozer and P. Smolensky and D. S. Touretzky and J. L. Elman and A. S. Weigend (Eds.), pp. 31-38 1994.
The Capacity Of Convergence-Zone Episodic Memory 1994
Mark Moll, Risto Miikkulainen, Jonathan Abbey, In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pp. 68-73, Seattle, WA 1994. Cambridge, MA: MIT Press.
How Lateral Interaction Develops In A Self-Organizing Feature Map 1993
Joseph Sirosh and Risto Miikkulainen, In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), pp. 1360-1365 1993. Piscataway, NJ: IEEE.
Trace Feature Map: A Model Of Episodic Associative Memory 1992
Risto Miikkulainen, Biological Cybernetics, Vol. 66 (1992), pp. 273--282.
A Neural Network For Attentional Spotlight 1991
Wee Kheng Leow and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks (Singapore), AI91-165, pp. 436-441 1991. Piscataway, NJ: IEEE.
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution 1991
Risto Miikkulainen, In Proceedings of the 1991 International Conference on Artificial Neural Networks, Teuvo Kohonen and Kai M{"a}kisara and Olli Simula and Jari Kangas (Eds.), pp. 415-420 1991. Amsterdam: North-H...
Projects
     [Expand to show all 13][Minimize]
Software/Data
BiLex Download at GitHub.

A self-organizing map model of bilingual aphasia. ...

2021
LISSOM

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

2004
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
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