Neural Networks
Webpage: http://www.cs.utexas.edu/users/nn/
Director: Risto Miikkulainen
Our research concentrates on understanding and generating intelligent behavior with artificial neural networks. On one hand, the goal is to better understand human information processing, that is, how intelligent behavior in humans arises from neural network mechanisms. On the other, the research aims at building more intelligent artificial systems. Our approach is to develop algorithms and architectures that explicitly represent and make use of the structure in the task, such as schemas, subgoals, and modularity. This way it is possible to build neural network models of more complex behavior than is possible with traditional uniform network architectures. For example, high-level processes such as schema learning, sentence understanding, and game playing can be implemented with modular neural networks, and such systems can often be more efficient and cognitively valid than traditional models.
People
     [Expand to show all 12][Minimize]
Nora E. Aguirre-Celis Ph.D. Student naguirre@itesm.mx
Erkin Bahceci Ph.D. Student erkin@cs.utexas.edu
Julian Bishop Ph.D. Student julian@cs.utexas.edu
Igor V. Karpov Ph.D. Student ikarpov@cs.utexas.edu
Joel Lehman Postdoc joel@cs.utexas.edu
Risto Miikkulainen Professor risto@cs.utexas.edu
Padmini Rajagopalan Ph.D. Student padmini@cs.utexas.edu
Aditya Rawal Ph.D. Student aditya@cs.utexas.edu
Jacob Schrum Ph.D. Student schrum2@cs.utexas.edu
Jeremy Stober Ph.D. Student stober@cs.utexas.edu
Wesley Tansey Ph.D. Student tansey@cs.utexas.edu
Austin Waters Ph.D. Student austin@cs.utexas.edu
Publications
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A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen
Effective Diversity Maintenance in Deceptive Domains 2013
Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen
GRADE: Machine Learning Support for Graduate Admissions 2013
Austin Waters, Risto Miikkulainen
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen
Open-Ended Behavioral Complexity for Evolved Virtual Creatures 2013
Dan Lessin, Don Fussell, Risto Miikkulainen
Using Symmetry and Evolutionary Search to Minimize Sorting Networks 2013
Vinod K. Valsalam and Risto Miikkulainen
A Probabilistic Architecture for Algorithm Portfolios 2012
Bryan Silverthorn
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen
Believable Bot Navigation via Playback of Human Traces 2012
Igor V. Karpov, Jacob Schrum, Risto Miikkulainen
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach 2012
Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer 2012
Anand Subramoney
Evaluation Methods for Active Human-Guided Neuroevolution in Games 2012
Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen
Evolution of a Communication Code in Cooperative Tasks 2012
Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp
Evolving Multimodal Networks for Multitask Games 2012
Jacob Schrum and Risto Miikkulainen
General-Purpose Optimization Through Information-Maximization 2012
Alan J lockett
Humanlike Combat Behavior via Multiobjective Neuroevolution 2012
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player 2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone
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
Multiagent Learning through Neuroevolution 2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey
Surviving Solver Sensitivity: An ASP Practitioner's Guide 2012
Bryan Silverthorn, Yuliya Lierler and Marius Schneider
Task decomposition with neuroevolution in extended predator-prey domain 2012
Ashish Jain, Anand Subramoney, Risto Miikkulainen
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy 2011
Nate Kohl, Risto Miikkulainen
Assisting Machine Learning Through Shaping, Advice and Examples 2011
Igor Karpov, Vinod Valsalam and Risto Miikkulainen
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk and Risto Miikkulainen
Evolving Multimodal Networks for Multitask Games 2011
Jacob Schrum and Risto Miikkulainen
Evolving Symmetry for Modular System Design 2011
Vinod K. Valsalam and Risto Miikkulainen
Human-Assisted Neuroevolution Through Shaping, Advice and Examples 2011
Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen
Learning Geometry from Sensorimotor Experience 2011
Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers
Learning Polarity from Structure in SAT 2011
Bryan Silverthorn and Risto Miikkulainen
Measure Theoretic Evolutionary Annealing 2011
Alan J. Lockett and Risto Miikkulainen
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen
Real-Space Evolutionary Annealing 2011
Alan J Lockett and Risto Miikkulainen
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation 2011
Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks 2011
Vinod K. Valsalam and Risto Miikkulainen
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces 2011
Jacob Schrum, Igor V. Karpov 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
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2010
Chern Han Yong and Risto Miikkulainen
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
Constructing Competitive and Cooperative Agent Behavior Using Coevolution 2010
Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping 2010
Jacob Schrum and Risto Miikkulainen
Latent Class Models for Algorithm Portfolio Methods 2010
Bryan Silverthorn and Risto Miikkulainen
Neuroevolution 2010
Risto Miikkulainen
Spherical Topic Models 2010
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney
Utilizing Symmetry in Evolutionary Design 2010
Vinod Valsalam
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
Evolving Multi-modal Behavior in NPCs 2009
Jacob Schrum and Risto Miikkulainen
Evolving Neural Networks for Strategic Decision-Making Problems 2009
Nate Kohl and Risto Miikkulainen
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots 2009
Vinod K. Valsalam and Risto Miikkulainen
Evolving Symmetric and Modular Neural Networks for Distributed Control 2009
Vinod K. Valsalam and Risto Miikkulainen
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution 2009
Thomas D'Silva, Risto Miikkulainen
Learning in Fractured Problems for Constructive Neural Network Algorithms 2009
Nate Kohl
Modeling the Bilingual Lexicon of an Individual Subject 2009
Risto Miikkulainen and Swathi Kiran
Spherical Topic Models 2009
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney
Temporal Convolution Machines for Sequence Learning 2009
Alan J Lockett and Risto Miikkulainen
Accelerated Neural Evolution through Cooperatively Coevolved Synapses 2008
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
Category Learning Systems 2008
Dagmar Zeithamova
Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World 2008
Jacob Schrum
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution 2008
Jacob Schrum and Risto Miikkulainen
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer
Evolving Controllers for Simulated Car Racing using Neuroevolution 2008
Aravind Gowrisankar
Evolving Neural Networks for Fractured Domains 2008
Nate Kohl and Risto Miikkulainen
Evolving Opponent Models for Texas Hold 'Em 2008
Alan J Lockett and Risto Miikkulainen
Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization 2008
Marshall R. Mayberry III and Risto Miikkulainen
Memory Processes in Perceptual Decision Making 2008
Manish Saggar, Risto Miikkulainen, David M Schnyer
Modular Neuroevolution for Multilegged Locomotion 2008
Vinod K. Valsalam and Risto Miikkulainen
Motion Perception and the Scene Statistics of Motion 2008
Tal Tversky
Online Kernel Selection for Bayesian Reinforcement Learning 2008
Joseph Reisinger and Peter Stone and Risto Miikkulainen
Transfer of Evolved Pattern-Based Heuristics in Games 2008
Erkin Bahceci and Risto Miikkulainen
A computational model of the motivation-learning interface 2007
Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen
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
Acquiring Evolvability through Adaptive Representations 2007
Joseph Reisinger and Risto Miikkulainen
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution 2007
Bobby D. Bryant and Risto Miikkulainen
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2007
Chern Han Yong and Risto Miikkulainen
Coevolving Strategies for General Game Playing 2007
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen
Detecting Motion in the Environment with a Moving Quadruped Robot 2007
Peggy Fidelman, Thayne Coffman and Risto Miikkulainen
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
Evolving Explicit Opponent Models for Game Play 2007
Alan Lockett, Charles Chen, and Risto Miikkulainen
MARLEDA: Effective Distribution Estimation Through Markov Random Fields 2007
Matthew Alden
Modeling the self-organization of color selectivity in the visual cortex 2007
Judah Ben De Paula
Reinforcement Learning in High-Diameter, Continuous Environments 2007
Jefferson Provost
Self-Organizing Distinctive State Abstraction Using Options 2007
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen
Semantic Boost on Episodic Associations: An Empirically Based Computational Model 2007
Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks 2007
Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen
Coevolution of Neural Networks using a Layered Pareto Archive 2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen
Computational Intelligence in Games 2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong
Converting RGB Images to LMS Cone Activations 2006
Judah B. De Paula
Creating Intelligent Agents in Games 2006
Risto Miikkulainen
Developing navigation behavior through self-organizing distinctive state abstraction 2006
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen
Efficient Non-Linear Control through Neuroevolution 2006
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
Establishing an Appropriate Learning Bias Through Development 2006
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method 2006
Thomas W. D'Silva
Evolving Stochastic Controller Networks for Intelligent Game Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Evolving Visibly Intelligent Behavior for Embedded Game Agents 2006
Bobby D. Bryant
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Grounding Language in Descriptions of Scenes 2006
Paul Williams and Risto Miikkulainen
Incorporating Advice into Neuroevolution of Adaptive Agents 2006
Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov
Integration and Evaluation of Exploration-Based Learning in Games 2006
Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, 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
Real-Time Evolution of Neural Networks in the NERO Video Game 2006
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen
Selecting for Evolvable Representations 2006
Joseph Reisinger and Risto Miikkulainen
Self-Organization of Hierarchical Visual Maps with Feedback Connections 2006
Yiu Fai Sit and Risto Miikkulainen
The Effect of Delivery Method on Conceptual and Strategy Development 2006
Lisa C. Kaczmarczyk, Mary Z. Last, Risto Miikkulainen
A Subsymbolic Model of Complex Story Understanding 2005
Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype 2005
Aliza Gold
Automatic Feature Selection via Neuroevolution 2005
Shimon Whiteson and Peter Stone and Kenneth O. Stanley and Risto Miikkulainen and Nate Kohl
Broad-Coverage Parsing with Neural Networks 2005
Marshall R. Mayberry III and Risto Miikkulainen
Coevolution of Neural Networks Using a Layered Pareto Archive 2005
German A. Monroy
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
Effective Image Compression Using Evolved Wavelets 2005
Uli Grasemann and Risto Miikkulainen
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone
Evolving Neural Network Agents in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Evolving Neural Network Ensembles for Control Problems 2005
David Pardoe, Michael Ryoo, and Risto Miikkulainen
Improving Prescripted Agent Behavior with Neuroevolution 2005
Ryan Cornelius, Risto Miikkulainen
Incorporating Advice into Evolution of Neural Networks 2005
Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 2005
Yiu Fai Sit and Risto Miikkulainen
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen
Real-Time Learning in the NERO Video Game 2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Retaining Learned Behavior During Real-Time Neuroevolution 2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley 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
The Acquisition of Intellectual Expertise: A Computational and Empirical Theory 2005
Elizabeth C. Kaczmarczyk
Towards an Empirical Measure of Evolvability 2005
Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning 2004
Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning 2004
Alex van Eck Conradie
Competitive Coevolution through Evolutionary Complexification 2004
Kenneth O. Stanley and Risto Miikkulainen
Contour grouping: closure effects are explained by good continuation and proximity 2004
Tal Tversky, Wilson S. Geisler and Jeffrey S. Perry
Contour Integration and Segmentation with Self-Organized Lateral Connections 2004
Yoonsuck Choe and Risto Miikkulainen
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System 2004
Adrian Agogino and Risto Miikkulainen
Efficient Evolution of Neural Networks Through Complexification 2004
Kenneth O. Stanley
Evolving a Roving Eye for Go 2004
Kenneth O. Stanley and Risto Miikkulainen
Evolving Reusable Neural Modules 2004
Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting 2004
Uli Grasemann and Risto Miikkulainen
Exploiting Morphological Conventions for Genetic Reuse 2004
Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen
Loop-closing and planarity in topological map-building 2004
Francesco Savelli and Benjamin Kuipers
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
The Acquisition of Intellectual Expertise: A Computational Model 2004
Elizabeth C. Kaczmarczyk, Risto Miikkulainen
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots 2004
Harold H. Chaput
Transfer of Neuroevolved Controllers in Unstable Domains 2004
Faustino J. Gomez and Risto Miikkulainen
A Taxonomy for Artificial Embryogeny 2003
Kenneth O. Stanley and Risto Miikkulainen
Achieving High-Level Functionality through Evolutionary Complexification 2003
Kenneth O. Stanley and Risto Miikkulainen
Active Guidance for a Finless Rocket Using Neuroevolution 2003
Faustino J. Gomez and Risto Miikkulainen
Constructivist Learning: A Neural Implementation of the Schema Mechanism 2003
Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen
Evolving Adaptive Neural Networks with and Without Adaptive Synapses 2003
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Incremental Nonmonotonic Parsing through Semantic Self-Organization 2003
Marshall R. Mayberry III
Incremental Nonmonotonic Parsing through SemanticSelf-Organization 2003
Marshall R. Mayberry III and Risto Miikkulainen
Learning Concept Drift with a Committee of Decision Trees 2003
Kenneth O. Stanley
Learning Innate Face Preferences 2003
James A. Bednar and Risto Miikkulainen
Neuroevolution for Adaptive Teams 2003
Bobby D. Bryant and Risto Miikkulainen
PhD Thesis: Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez
Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez
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
Utilizing Domain Knowledge in Neuroevolution 2003
James Fan, Raymond Lau, and Risto Miikkulainen
Adaptive Control Utilising Neural Swarming 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich
Continual Coevolution Through Complexification 2002
Kenneth O. Stanley and Risto Miikkulainen
Cultural Enhancement Of Neuroevolution 2002
Paul H. McQuesten
Efficient Evolution Of Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Efficient Reinforcement Learning Through Evolving Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Eugenic Evolution Utilizing A Domain Model 2002
Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich
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
Numerical Optimization With Neuroevolution 2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen
Text and Discourse Understanding: The DISCERN System 2002
Risto Miikkulainen
The Dominance Tournament Method of Monitoring Progress in Coevolution 2002
Kenneth O. Stanley and Risto Miikkulainen
A Model Of Infant Causal Perception And Its Development 2001
Harold H. Chaput and Leslie B. Cohen
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor 2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen
Abrupt And Gradual Sound Change In An Expanding Lexicon 2001
Melissa A. Redford and Risto Miikkulainen
Applying ESP And Region Specialists To Neuro-Evolution For Go 2001
Andres Santiago Perez-Bergquist
Co-Evolving A Go-Playing Neural Network 2001
Alex Lubberts and Risto Miikkulainen
Constrained Emergence Of Universals And Variation In Syllable Systems 2001
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen
Cooperative Coevolution Of Multi-Agent Systems 2001
Chern Han Yong and Risto Miikkulainen
Creating Melodies With Evolving Recurrent Neural Networks 2001
Chun-Chi J. Chen and Risto Miikkulainen
Evolving Populations Of Expert Neural Networks 2001
Joseph Bruce and Risto Miikkulainen
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences 2001
Bobby D. Bryant and Risto Miikkulainen
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons 2001
Yoonsuck Choe
Post-Piagetian constructivism for grounded knowledge acquisition 2001
Harold H. Chaput
Scaling Self-Organizing Maps To Model Large Cortical Networks 2001
James A. Bednar, Amol Kelkar, and Risto Miikkulainen
Semantic Effect On Episodic Associations 2001
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs 2001
Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers
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
Eugenic Neuro-Evolution For Reinforcement Learning 2000
Daniel Polani and Risto Miikkulainen
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
Neuro-Evolution And Natural Deduction 2000
Nirav S. Desai and Risto Miikkulainen
Online Interactive Neuro-Evolution 2000
Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen
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
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm 1999
Shailesh Kumar and Risto Miikkulainen
Disambiguation And Grammar As Emergent Soft Constraints 1999
Risto Miikkulainen and Marshall R. Mayberry III
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex 1999
Igor Farkas and Risto Miikkulainen
SARDSRN: A Neural Network Shift-Reduce Parser 1999
Marshall R. Mayberry III and Risto Miikkulainen
Solving Non-Markovian Control Tasks With Neuroevolution 1999
Faustino J. Gomez and Risto Miikkulainen
Using a Sequential SOM to Parse Long-Term Dependencies 1999
Marshall R. Mayberry III and Risto Miikkulainen
2-D Pole Balancing With Recurrent Evolutionary Networks 1998
Faustino Gomez and Risto Miikkulainen
A Self-Organizing Neural Network Model of the Primary Visual Cortex 1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar and Risto Miikkulainen
Eugenic Evolution For Combinatorial Optimization 1998
John W. Prior
Evolving Neural Networks To Play Go 1998
Norman Richards, David Moriarty, and Risto Miikkulainen
Hierarchical Evolution Of Neural Networks 1998
David E. Moriarty and Risto Miikkulainen
Intrusion Detection With Neural Networks 1998
Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen
Modeling The Emergence Of Syllable Systems 1998
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen
Pattern-Generator-Driven Development In Self-Organizing Models 1998
James A. Bednar and Risto Miikkulainen
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
Culling And Teaching In Neuro-Evolution 1997
Paul McQuesten and Risto Miikkulainen
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm 1997
Shailesh Kumar and Risto Miikkulainen
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon 1997
Risto Miikkulainen
Forming Neural Networks Through Efficient And Adaptive Coevolution 1997
David E. Moriarty and Risto Miikkulainen
Incremental Evolution Of Complex General Behavior 1997
Faustino Gomez and Risto Miikkulainen
Natural Language Processing With Subsymbolic Neural Networks 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
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks 1997
David E. Moriarty
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex 1997
James A. Bednar
Visual Schemas In Neural Networks For Object Recognition And Scene Analysis 1997
Wee Kheng Leow, Risto Miikkulainen
Efficient Reinforcement Learning Through Symbiotic Evolution 1996
David E. Moriarty and Risto Miikkulainen
Evolving Obstacle Avoidance Behavior In A Robot Arm 1996
David E. Moriarty and Risto Miikkulainen
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)
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition 1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning 1996
Patrick Goetz, Shailesh Kumar and Risto Miikkulainen
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
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses 1996
Risto Miikkulainen
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
Discovering Complex Othello Strategies Through Evolutionary Neural Networks 1995
David E. Moriarty and Risto Miikkulainen
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition 1995
Yoonsuck Choe
Learning Sequential Decision Tasks 1995
David E. Moriarty and Risto Miikkulainen
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
SARDNET: A Self-Organizing Feature Map For Sequences 1995
Daniel L. James and Risto Miikkulainen
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing 1995
Risto Miikkulainen
Visual Schemas In Object Recognition And Scene Analysis 1995
Risto Miikkulainen and Wee Kheng Leow
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network 1995
Justine Blackmore
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
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems 1994
David E. Moriarty and Risto Miikkulainen
Evolving Neural Networks To Focus Minimax Search 1994
David E. Moriarty and Risto Miikkulainen
Grounding Robotic Control With Genetic Neural Networks 1994
Diane Law and Risto Miikkulainen
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations 1994
Risto Miikkulainen
Lexical Disambiguation Based on Distributed Representations of Context Frequency 1994
Marshall R. Mayberry III and Risto Miikkulainen
Priming, Perceptual Reversal, And Circular Reaction In A Neural Network Model Of Schema-Based Vision 1994
Wee Kheng Leow and Risto Miikkulainen
Representing And Learning Visual Schemas In Neural Networks For Scene Analysis 1994
Wee Kheng Leow and Risto Miikkulainen
Searle, Subsymbolic Functionalism And Synthetic Intelligence 1994
Diane Law
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
Verb Inflections in German Child Language: A Connectionist Account 1994
Gert Westermann and Risto Miikkulainen
VISOR: Learning Visual Schemas In Neural Networks For Object Recognition And Scene Analysis 1994
Wee Kheng Leow
VISOR: Schema-Based Scene Analysis With Structured Neural Networks 1994
Wee Kheng Leow and Risto Miikkulainen
How Lateral Interaction Develops In A Self-Organizing Feature Map 1993
Joseph Sirosh and Risto Miikkulainen
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map 1993
Justine Blackmore and Risto Miikkulainen
Representing Visual Schemas in Neural Networks for Scene Analysis 1993
Wee Kheng Leow and Risto Miikkulainen
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory 1993
Risto Miikkulainen
Data Rectification Using Recurrent (Elman) Neural Networks 1992
Thomas W. Karjala, David M. Himmelblau 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
Natural Language Processing With Modular PDP Networks And Distributed Lexicon 1991
Risto Miikkulainen and Michael G. Dyer
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution 1991
Risto Miikkulainen
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour 1991
Brad Fullmer and Risto Miikkulainen
A PDP Architecture For Processing Sentences With Relative Clauses 1990
Risto Miikkulainen
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory 1990
Risto Miikkulainen
Script Recognition With Hierarchical Feature Maps 1990
Risto Miikkulainen
Projects
     [Expand to show all 82][Minimize]
The OpenNERO AI Research and Education Platform 2009 - Present
Coevolution of Competitive and Cooperative Agent Behavior 2009 - Present
Neuroevolution in Real Time Games 2005 - Present
A computational analysis of meditation 2005 - Present
Learning Navigation for Personal Satellite Assistant using Neuroevolution 2004 - Present
Neural Network Models of Schizophrenic Language 2003 - Present
PGLISSOM: Perceptual Grouping in a Self-Organizing Map of Spiking Neurons 1999 - Present
Forming Text Representations with Neural Networks 1998 - Present
A Predictive Simulation Model of Competitive Dynamics in Innovation 2009 - 2013
Borg: A General-Purpose Algorithm Portfolio System 2009 - 2013
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2012
Human-like Bots in Unreal Tournament 2008 - 2012
Modular Neuroevolution for Multilegged Locomotion 2007 - 2012
Evolving Controllers for Physical Multilegged Robots 2010 - 2011
Computational and Behavioral Evidence for Bilingual Aphasia Rehabilitation 2008 - 2011
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
Leveraging Human Creativity with Machine Discovery 2008 - 2010
Evolving Locomotion Controllers for Multilegged Robots 2008 - 2010
Utilizing Symmetry in Evolutionary Design 2007 - 2010
NERO: NeuroEvolving Robotic Operatives 2003 - 2009
Computational Maps in the Visual Cortex 1987 - 2009
Trichromatic LISSOM 2005 - 2007
Leveraging Evolvability in Search 2004 - 2007
SODA: Self-Organizing Distinctive State Abstraction 2003 - 2007
Diverse Behavior in Teams of Homogeneous Agents 2001 - 2007
Cooperative Coevolution of Multi-Agent Systems 2000 - 2007
Learning Schemas for Robot Perception 2000 - 2007
NEAT: Evolving Vehicle Warning Systems 2004 - 2006
Developing Complex Systems Using Evolved Pattern Generators 2004 - 2006
Combining Rule-Based Knowledge with NEAT 2004 - 2006
Solving Non-Markov Control Tasks 1996 - 2006
Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1 2004 - 2005
Evolving Neural Network Ensembles with NEAT 2004 - 2005
CLA: The Constructivist Learning Architecture 1998 - 2004
Controlling a Finless Rocket Through Neuroevolution 2002 - 2003
Refinement and On-Line Adaptation of Neurocontrollers Through Particle swarming 2001 - 2002
Nonlinear, Adaptive Process Control 2001 - 2002
Dynamic Resource Allocation on a Multiprocessor Chip 2000 - 2002
Sound System Differentiation Through Time 2000 - 2002
Evolving Confident Neural Networks 2000 - 2002
Self-Organization of Directional Selectivity 1999 - 2002
Optimizing a Manufacturing Process 1998 - 2002
Segmentation and Binding: the SLISSOM Model 1998 - 2002
Semantic Effect on Episodic Associations 1998 - 2002
Eugenic Evolution: The EuA, EuSANE, and TEAM 1998 - 2002
Self-Organization Driven by Internally-Generated Patterns 1997 - 2002
Creating Melodies with Evolving Recurrent Networks 2000 - 2001
GLISSOM: Modeling Large Cortical Maps 1999 - 2001
Modeling the Emergence of Syllable Systems 1998 - 2001
Understanding Complex Sentences with the Sentence Gestalt Model 1998 - 2001
Playing Go 1998 - 2001
Natural Deduction 1999 - 2000
Utilizing Population Culture in Neuroevolution 1998 - 2000
Adaptive Packet Routing: The Confidence-Based Dual Reinforcement Q-Learning Algorithm 1998 - 2000
Tilt Aftereffects in the RF-LISSOM Model 1996 - 2000
Orientation Perception in the RF-LISSOM Model 1995 - 2000
Structure and Capacity of Hippocampal Memory: The Convergence-Zone model 1994 - 2000
Subsymbolic Parsing of Sequences: The SARDSRN model 1998 - 1999
Real-time Interactive Gaming 1997 - 1999
Organization and Disorders of the Mental Lexicon: The DISLEX System 1990 - 1999
Intrusion Detection 1998 - 1998
Semantic Disambiguation in Sentence Processing 1994 - 1998
Realtime Continuous Adaptive Behavior: The Rodney System 1997 - 1997
Self-Organization in the Primary Visual Cortex: The RF-LISSOM Model 1995 - 1997
Controlling Chaos 1995 - 1997
Vision-Driven Development of Auditory Spatial Maps 1995 - 1997
On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning 1995 - 1997
Symbiotic Evolution: The SANE System 1994 - 1997
Robot Control 1994 - 1997
Playing Othello 1994 - 1997
Schema-Based Object Recognition and Scene Analysis: The VISOR System 1993 - 1997
LISSOM: Laterally Interconnected Self-Organizing Maps 1987 - 1997
IGG: Visualization with Incremental Grid Growing 1993 - 1995
Marker-Based Encoding of Neural Networks 1991 - 1995
SARDNET: Forming Maps of Sequences 1994 - 1994
Understanding Sentences with Relative Clauses: The SPEC System 1993 - 1994
Processing Script-Based Stories: The DISCERN System 1990 - 1994
Storing Information on Maps: The Trace Feature Map Model 1990 - 1994
HFM: Hierarchical Features Maps 1989 - 1994
Learning Word Meanings: The FGREP Method 1987 - 1994
Data Rectification for Process Control 1992 - 1992
Areas of Interest
     [Expand to show all 23][Minimize]
Demos
     [Expand to show all 25][Minimize]
Cooperation to Overcome a More Powerful AdversaryKay Holekamp2012
Egalitarian Social Learning (ESL) in Robot ForagingWesley Tansey2012
Evolution of a Communication Code in Cooperative TasksAditya Rawal, Padmini Rajagopalan, Risto Miikkulainen, Kay Holekamp2012
Simulation of Competitive Multi-Agent Search on NK Fitness LandscapesErkin Bahceci2012
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004Jacob Schrum, Igor Karpov2012
Evolving Controllers for Physical Multilegged RobotsVinod Valsalam2011
Model-Based Visualization of Solver Performance DataBryan Silverthorn2011
Multi-modal Approaches to Evolving Behavior for Multi-task GamesJacob Schrum2011
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of CooperationPadmini Rajagopalan, Aditya Rawal2011
A Subsymbolic Model of Schizophrenic LanguageUli Grasemann2010
Emergence of Competitive and Cooperative Behavior and Arms Race Through CoevolutionAditya Rawal, Padmini Rajagopalan2010
Evolving Controller Symmetry for Multilegged RobotsVinod Valsalam2010
Fitness-based Shaping in Multi-objective DomainsJacob Schrum2010
Learning in Fractured DomainsNate Kohl2009
Multi-modal Behavior in NPCsJacob Schrum2009
Modular Neuroevolution for Multilegged LocomotionVinod Valsalam2008
Multi-objective Neuroevolution of NPCsJacob Schrum2008
Evolving Cooperation in Multiagent SystemsChern Yong2007
Handwritten Digit Recognition Utilizing Evolved Pattern GeneratorsVinod Valsalam2007
Neuro-Evolving Robotic Operatives (NERO)Kenneth Stanley2007
Adaptive Teams of Agents in the Legion II gameBobby Bryant2006
Evolving Vehicle Warning SystemsNate Kohl2006
Finless Rocket ControlFaustino Gomez2003
Neuroevolution of Augmenting Topologies DemosKenneth Stanley2003
Double Pole Balancing with ESPFaustino Gomez1999
Software/Data
     [Expand to show all 37][Minimize]
ESL This is the C# source code for the experiments with Egalitarian Social Learning (ESL) in a robot foraging domain. The re... 2012
UT^2: Winning Botprize 2012 Entry The Botprize Competition is an annual competition to program bots that appear human-l... 2012
Borg

The borg project includes a practical algorithm...

2011
NKVis This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a 2011
PyEC Python package containing source code for Evolutionary Annealing along with a number of other evolutionary and stochasti... 2011
ENSO This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in... 2010
NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010
OpenNERO OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio... 2010
Sorting Networks This package contains software utilizing an approach based on symmetry and evolution to minimize the number of comparato... 2010
Austin Arboretum Foliage Corpus Photographs for use with color modeling work taken by Judah De Paula at the Austin Arboretum. Images contain mostly leav... 2007
De Paula dissertation support files The trichromatic LISSOM simulations and support scripts used to generate the data presented in the De Paula dissertation... 2007
Flowers Color Image Corpus Photographs for use with color modeling work taken by Judah De Paula at the Austin Arboretum. Images contain mostly clos... 2007
RGBtoLMS Python code to convert RGB images to simulated Long, Medium, and Short photoreceptor cone activations. The program also... 2007
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
NEAT: ANJI (Another NEAT Java Implementation) The ANJI package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2004
NEAT C# The SharpNEAT package contains C# source code for the NeuroEvolution of Augmenting Topologies method (see the original <... 2003
NEAT Delphi The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003
NEAT Matlab The Matlab NEAT package contains Matlab source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003
ESP JAVA 1.1 The ESP package contains the source code for the Enforced Sup-Populations system written in Java. This package is a near... 2002
NEAT C++ for Microsoft Windows The Windows NEAT package contains C++ source code for the NeuroEvolution of Augmenting Topologies method (see the origin... 2002
NEAT Java (JNEAT) The JNEAT package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2002
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
TEAM The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M... 2002
LISSOM

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

2001
ESP C++ The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension t... 2000
JavaSANE The JavaSANE package contains the source code for the Hierarchical SANE system, based on SANE-C, but rewritten extensive... 1998
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
SANE-C The SANE-C package contains the source code for the Hierarchical SANE system, written in C. This package has been rewrit... 1997
Polebalancing This simulator contains the code used to compare (neuron-level) SANE to one- and two-layer adaptive heuristic critics in... 1995
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