James A. Reggia

Affiliations:
  • University of Maryland, College Park, USA


According to our database1, James A. Reggia authored at least 164 papers between 1983 and 2023.

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Bibliography

2023
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks.
Int. J. Soc. Robotics, August, 2023

Cognitive-motor performance assessment during in-person and remote practice of action sequences.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Decoding EEG Signals with Visibility Graphs to Predict Varying Levels of Mental Workload.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Multiplex Temporal Networks for Rapid Mental Workload Classification.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
NeuroLISP: High-level symbolic programming with attractor neural networks.
Neural Networks, 2022

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences.
Proceedings of the Augmented Cognition, 2022

2021
Compositional memory in attractor neural networks with one-step learning.
Neural Networks, 2021

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot.
Int. J. Soc. Robotics, 2021

Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm.
Frontiers Neurorobotics, 2021

A Neurocomputational Model of Posttraumatic Stress Disorder.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020
Artificial Conscious Intelligence.
J. Artif. Intell. Conscious., 2020

Reinforcement-based Program Induction in a Neural Virtual Machine.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A programmable neural virtual machine based on a fast store-erase learning rule.
Neural Networks, 2019

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.
IEEE Trans. Cogn. Dev. Syst., 2018

Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies.
Frontiers Robotics AI, 2018

Learning in a Continuous-Valued Attractor Network.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
A limit-cycle self-organizing map architecture for stable arm control.
Neural Networks, 2017

2016
A Self-Organizing Map Architecture for Arm Reaching Based on Limit Cycle Attractors.
EAI Endorsed Trans. Self Adapt. Syst., 2016

Engineering neural systems for high-level problem solving.
Neural Networks, 2016

Imitation Learning as Cause-Effect Reasoning.
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015
Self-organizing maps based on limit cycle attractors.
Neural Networks, 2015

A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements.
Int. J. Soc. Robotics, 2015

Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks.
Comput. Intell. Neurosci., 2015

Lambda and the Edge of Chaos in Recurrent Neural Networks.
Artif. Life, 2015

A virtual demonstrator environment for robot imitation learning.
Proceedings of the 2015 IEEE International Conference on Technologies for Practical Robot Applications, 2015

An Object-Centric Paradigm for Robot Programming by Demonstration.
Proceedings of the Foundations of Augmented Cognition, 2015

2014
Evolutionary design of self-organizing particle systems for collective problem solving.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Predicting Electrocardiogram and Arterial Blood Pressure Waveforms with Different Echo State Network Architectures.
Proceedings of the AMIA 2014, 2014

Conscious Machines: The AI Perspective.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Recurrent Neural Collective Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

The rise of machine consciousness: Studying consciousness with computational models.
Neural Networks, 2013

Robust human action recognition via long short-term memory.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The added value of gating in evolved neurocontrollers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Human-Robotic Collaborative Intelligent Control for Reaching Performance.
Proceedings of the Foundations of Augmented Cognition, 2013

2012
Symbolic Representation of Recurrent Neural Network Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2012

A generalized LSTM-like training algorithm for second-order recurrent neural networks.
Neural Networks, 2012

Causally-guided evolutionary optimization and its application to antenna array design.
Integr. Comput. Aided Eng., 2012

Evolving Musical Counterpoint: The Chronopoint Musical Evolution System
CoRR, 2012

Emergent latent symbol systems in recurrent neural networks.
Connect. Sci., 2012

Modeling of visuospatial perspectives processing and modulation of the fronto-parietal network activity during action imitation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Cortex inspired model for inverse kinematics computation for a humanoid robotic finger.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

The Role of Working Memory in an Urban Pursuit Scenario.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

2011
Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks.
IEEE Trans. Neural Networks, 2011

Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron system.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Cognitive control as a gated cortical net.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Towards a Biologically Inspired Question-Answering Neural Architecture.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Parsimonious rule generation for a nature-inspired approach to self-assembly.
ACM Trans. Auton. Adapt. Syst., 2010

Self-assembly of neural networks viewed as swarm intelligence.
Swarm Intell., 2010

Computational Discovery of Instructionless Self-Replicating Structures in Cellular Automata.
Artif. Life, 2010

Particle Swarm Optimization for multimodal combinatorial problems and its application to protein design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Artificial Evolution of Arbitrary Self-Replicating Structures in Cellular Spaces.
Proceedings of the Simulating Complex Systems by Cellular Automata, 2010

2009
An Oscillatory Hebbian Network Model of Short-Term Memory.
Neural Comput., 2009

Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps.
Neural Comput., 2009

A distributed learning algorithm for particle systems.
Integr. Comput. Aided Eng., 2009

Running memory span: A comparison of behavioral capacity limits with those of an attractor neural network.
Cogn. Syst. Res., 2009

A cooperative combinatorial Particle Swarm Optimization algorithm for side-chain packing.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

An unsupervised learning method for representing simple sentences.
Proceedings of the International Joint Conference on Neural Networks, 2009

Improving rule extraction from neural networks by modifying hidden layer representations.
Proceedings of the International Joint Conference on Neural Networks, 2009

Evolving an autonomous agent for non-Markovian reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Simple Oscillatory Short-Term Memory.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009

2008
Predicting the Effects of Alternative Pricing Strategies in an Artificial Society Undergoing Technology Adoption.
Proceedings of the Soft Computing Applications in Business, 2008

Automated design of distributed control rules for the self-assembly of prespecified artificial structures.
Robotics Auton. Syst., 2008

Nested evolution of an autonomous agent using descriptive encoding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits.
NeuroImage, 2007

Swarm Intelligence Systems Using Guided Self-Organization for Collective Problem Solving.
Adv. Complex Syst., 2007

Properties of Self-Replicating Cellular Automata Systems Discovered Using Genetic Programming.
Adv. Complex Syst., 2007

2006
Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language.
IEEE Trans. Evol. Comput., 2006

Artificial Evolution of ArbitrarySelf-Replicating Structures.
J. Cell. Autom., 2006

Modeling the Impact of Consumer Interactions in Technology Markets.
J. Cell. Autom., 2006

Stigmergic self-assembly of prespecified artificial structures in a constrained and continuous environment.
Integr. Comput. Aided Eng., 2006

2005
Mirror Symmetric Topographic Maps Can Arise from Activity-Dependent Synaptic Changes.
Neural Comput., 2005

Evolving processing speed asymmetries and hemispheric interactions in a neural network model.
Neurocomputing, 2005

Collective-movement teams for cooperative problem solving.
Integr. Comput. Aided Eng., 2005

Using aggregate motion in multi-agent teams to solve search and transport problems.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Diagnostic problem solving using swarm intelligence.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Evolutionary Discovery of Arbitrary Self-replicating Structures.
Proceedings of the Computational Science, 2005

A Cellular Automata Model of Competition in Technology Markets with Network Externalities.
Proceedings of the Computational Science, 2005

2004
Using distributed partial memories to improve self-organizing collective movements.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps.
Neural Comput., 2004

Extending Self-Organizing Particle Systems to Problem Solving.
Artif. Life, 2004

A Descriptive Encoding Language for Evolving Modular Neural Networks.
Proceedings of the Genetic and Evolutionary Computation, 2004

2003
Cost minimization during simulated evolution of paired neural networks leads to asymmetries and specialization.
Cogn. Syst. Res., 2003

Progress in the Simulation of Emergent Communication and Language.
Adapt. Behav., 2003

2002
The Trend Cellular Automata Programming Environment.
Simul., 2002

The role of computational modeling in understanding hemispheric interactions and specialization.
Cogn. Syst. Res., 2002

Predicting Nearest Agent Distances in Artificial Worlds.
Artif. Life, 2002

2001
Conditions Enabling the Evolution of Inter-Agent Signaling in an Artificial World.
Artif. Life, 2001

Computational Investigation of Hemispheric Specialization and Interactions.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

2000
A Computational Model of Lateralization and Asymmetries in Cortical Maps.
Neural Comput., 2000

The temporal correlation hypothesis for self-organizing feature maps.
Int. J. Syst. Sci., 2000

1999
Lateralization in a bihemispheric neural model of letter identification.
Neurocomputing, 1999

Pathogenic mechanisms in ischemic damage: a computational study.
Comput. Biol. Medicine, 1999

Interhemispheric effects on map organization following simulated cortical lesions.
Artif. Intell. Medicine, 1999

Lesion effects in a bihemispheric letter-identification model.
Proceedings of the International Joint Conference Neural Networks, 1999

A model of lateralization and asymmetries in cortical maps.
Proceedings of the International Joint Conference Neural Networks, 1999

Simulated callosal lesions in a neural model of left and right hemispheric regions.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Computational Studies of Lateralization of Phoneme Sequence Generation.
Neural Comput., 1998

Seeking order in disorder: computational studies of neurologic and psychiatric diseases.
Artif. Intell. Medicine, 1998

Self-Replicating Structures: Evolution, Emergence and Computation.
Artif. Life, 1998

Computational Models for the Formation of Protocell Structures.
Artif. Life, 1998

Cellular Automata Models of Self-Replicating Systems.
Adv. Comput., 1998

1997
Automatic discovery of self-replicating structures in cellular automata.
IEEE Trans. Evol. Comput., 1997

Does Rotation of Neuronal Population Vectors Equal Mental Rotation?
Connect. Sci., 1997

1996
Effects of Varying Parameters on Properties of Self-Organizing Feature Maps.
Neural Process. Lett., 1996

Alignment of coexisting cortical maps in a motor control model.
Neural Comput., 1996

Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication.
Int. J. Neural Syst., 1996

Learning activation Rules Rather than Connection weights.
Int. J. Neural Syst., 1996

A computational model of visual hallucinations in migraine.
Comput. Biol. Medicine, 1996

Learning activation rules for associative networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Patterns of functional damage in neural network models of associative memory.
Neural Comput., 1995

1994
Effects of normalization constraints on competitive learning.
IEEE Trans. Neural Networks, 1994

Cortical Map Reorganization as a Competitive Process.
Neural Comput., 1994

Map Formation in Proprioceptive Cortex.
Int. J. Neural Syst., 1994

An Extended Cellular Space Method for Simulating Autocatalytic Oligonucleotides.
Comput. Chem., 1994

High-specificity neurological localization using a connectionist model.
Artif. Intell. Medicine, 1994

A neural model of cortical map reorganization following a focal lesion.
Artif. Intell. Medicine, 1994

A Neural Model of Delusions and Hallucinations in Schizophrenia.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Patterns of damage in neural networks: The effects of lesion area, shape and number.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Local conditions for phase transitions in neural networks with variable connection strengths.
Neural Networks, 1993

Learning Competition and Cooperation.
Neural Comput., 1993

A connectionist approach to diagnostic problem solving using causal networks.
Inf. Sci., 1993

Neural computation in medicine.
Artif. Intell. Medicine, 1993

Multiple disorder diagnosis with adaptive competitive neural networks.
Artif. Intell. Medicine, 1993

Minimizing Complexity in Cellular Automata Models of Self-Replication.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

1992
A Competitive Distribution Theory of Neocortical Dynamics.
Neural Comput., 1992

A Connectionist Approach to Vertex Covering Problems.
Int. J. Neural Syst., 1992

1991
An experimental study of criteria for hypothesis plausibility.
J. Exp. Theor. Artif. Intell., 1991

Modeling diagnosis at multiple levels of abstraction. II. Diagnostic reasoning at multiple levels of abstraction.
Int. J. Intell. Syst., 1991

Modeling diagnosis at multiple levels of abstraction. I. Representing causal relations at multiple levels of abstraction.
Int. J. Intell. Syst., 1991

Abductive localization of brain damage: incorporating spatial adjacency relations.
Artif. Intell. Medicine, 1991

1990
Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths.
Neural Comput., 1990

Competitive learning using competitive activation rules.
Proceedings of the IJCNN 1990, 1990

Supervised and reinforced competitive learning.
Proceedings of the IJCNN 1990, 1990

1989
A connectionist model for diagnostic problem solving.
IEEE Trans. Syst. Man Cybern., 1989

A Data Flow Implementation of a Competition-Based Connectionist Model.
J. Parallel Distributed Comput., 1989

Generating plausible diagnostic hypotheses with self-processing causal networks.
J. Exp. Theor. Artif. Intell., 1989

A comfort measure for diagnostic problem solving.
Inf. Sci., 1989

Parsimonious covering as a method for natural language interfaces to expert systems.
Artif. Intell. Medicine, 1989

1988
A general-purpose simulation environment for developing connectionist models.
Simul., 1988

Self-processing networks and their biomedical implications.
Proc. IEEE, 1988

Analysis of Competition-Based Spreading Activation in Connectionist Models.
Int. J. Man Mach. Stud., 1988

Competitive Dynamics in a Dual-route Connectionist Model of Print-to-sound Transformation.
Complex Syst., 1988

1987
A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy.
IEEE Trans. Syst. Man Cybern., 1987

A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference.
IEEE Trans. Syst. Man Cybern., 1987

Diagnostic problem-solving with causal chaining.
Int. J. Intell. Syst., 1987

The MIRRORS/II simulator.
Proceedings of the Proceedings 20th Annual Simulation Symposium (ANSS-20 1987), 1987

1986
A Comparative Analysis of Methods for Expert Systems.
Int. J. Man Mach. Stud., 1986

Selecting an approach to knowledge processing.
Comput. Oper. Res., 1986

Using abductive inferencing to derive complex error classifications for discrete sequential processes.
Proceedings of the 19th Annual Symposium on Simulation, 1986

Plausibility of Diagnostic Hypotheses: The Nature of Simplicity.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985
Automated classification of complex errors in discrete sequential tasks.
IEEE Trans. Syst. Man Cybern., 1985

A formal model of diagnostic inference, II. Algorithmic solution and application.
Inf. Sci., 1985

A formal model of diagnostic inference. I. Problem formulation and decomposition.
Inf. Sci., 1985

Virtual Lateral Inhibition in Parallel Activation Models of Associative Memory.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984
Review of "Approches Formelles De La Semantique Naturelle (Formal Approaches to Natural Semantics) by A. Borillo, M. Borillo, L. Farinas del Cerro & J. Virbel"; Laboratoire de Langages et Systemes Informatiques Toulouse, France 1982.
SIGART Newsl., 1984

An Abductive Non-Monotonic Logic.
Proceedings of the Non-Monotonic Reasoning Workshop, 1984

Relationships Between Deductive and Abductive Inference in Knowledge-Based Diagnostic Problem Solving.
Proceedings of the Expert Database Systems, 1984

Simulation of phonemic errors using artificial intelligence symbol processing techniques.
Proceedings of the 17th Annual Symposium on Simulation, 1984

1983
Diagnostic Expert Systems Based on a Set Covering Model.
Int. J. Man Mach. Stud., 1983

A New Inference Method for Frame-Based Expert Systems.
Proceedings of the National Conference on Artificial Intelligence, 1983


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