A New Inference Method for Frame-Based Expert Systems. - James A. Reggia; Dana S. Nau; Pearl Y. Wang (AAAI, 1983)

Diagnostic Expert Systems Based on a Set Covering Model. - James A. Reggia; Dana S. Nau; Pearl Y. Wang (Int. J. Man Mach. Stud., 1983)

Simulation of phonemic errors using artificial intelligence symbol processing techniques. - James A. Reggia; Sanjeev B. Ahuja (ANSS, 1984)

Relationships Between Deductive and Abductive Inference in Knowledge-Based Diagnostic Problem Solving. - Dana S. Nau; James A. Reggia (Expert Database Workshop, 1984)

An Abductive Non-Monotonic Logic. - James A. Reggia; Dana S. Nau (NMR, 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. - James A. Reggia; Vicki Roy (SIGART Newsl., 1984)

Virtual Lateral Inhibition in Parallel Activation Models of Associative Memory. - James A. Reggia (IJCAI, 1985)

A formal model of diagnostic inference. I. Problem formulation and decomposition. - James A. Reggia; Dana S. Nau; Pearl Y. Wang (Inf. Sci., 1985)

A formal model of diagnostic inference, II. Algorithmic solution and application. - James A. Reggia; Dana S. Nau; Pearl Y. Wang; Yun Peng 001 (Inf. Sci., 1985)

Automated classification of complex errors in discrete sequential tasks. - Sanjeev B. Ahuja; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1985)

Plausibility of Diagnostic Hypotheses: The Nature of Simplicity. - Yun Peng 001; James A. Reggia (AAAI, 1986)

Using abductive inferencing to derive complex error classifications for discrete sequential processes. - Sanjeev B. Ahuja; James A. Reggia (ANSS, 1986)

Selecting an approach to knowledge processing. - James A. Reggia; Sanjeev B. Ahuja (Comput. Oper. Res., 1986)

A Comparative Analysis of Methods for Expert Systems. - Connie Loggia Ramsey; James A. Reggia; Dana S. Nau; Andrew Ferrentino (Int. J. Man Mach. Stud., 1986)

The MIRRORS/II simulator. - C. Lynne D'Autrechy; James A. Reggia (Annual Simulation Symposium, 1987)

Diagnostic problem-solving with causal chaining. - Yun Peng 001; James A. Reggia (Int. J. Intell. Syst., 1987)

A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1987)

A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1987)

Competitive Dynamics in a Dual-route Connectionist Model of Print-to-sound Transformation. - James A. Reggia; Patricia M. Marsland; Rita Sloan Berndt (Complex Syst., 1988)

Analysis of Competition-Based Spreading Activation in Connectionist Models. - Pearl Y. Wang; Stephen B. Seidman; James A. Reggia (Int. J. Man Mach. Stud., 1988)

Self-processing networks and their biomedical implications. - James A. Reggia; Granger G. Sutton III (Proc. IEEE, 1988)

A general-purpose simulation environment for developing connectionist models. - C. Lynne D'Autrechy; James A. Reggia; Granger G. Sutton III; Sharon Goodall (Simul., 1988)

Parsimonious covering as a method for natural language interfaces to expert systems. - Venugopala R. Dasigi; James A. Reggia (Artif. Intell. Medicine, 1989)

A comfort measure for diagnostic problem solving. - Yun Peng 001; James A. Reggia (Inf. Sci., 1989)

Generating plausible diagnostic hypotheses with self-processing causal networks. - Jonathan Wald; Martin Farach; Malle A. Tagamets; James A. Reggia (J. Exp. Theor. Artif. Intell., 1989)

A Data Flow Implementation of a Competition-Based Connectionist Model. - Malle A. Tagamets; James A. Reggia (J. Parallel Distributed Comput., 1989)

A connectionist model for diagnostic problem solving. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1989)

Supervised and reinforced competitive learning. - Granger G. Sutton III; James A. Reggia; J. M. Maisog (IJCNN, 1990)

Competitive learning using competitive activation rules. - Granger G. Sutton III; James A. Reggia; J. M. Maisog (IJCNN, 1990)

Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths. - James A. Reggia; Mark Edwards (Neural Comput., 1990)

Abductive localization of brain damage: incorporating spatial adjacency relations. - Stanley Tuhrim; Deborah R. Horowitz; James A. Reggia; Sharon Goodall (Artif. Intell. Medicine, 1991)

Modeling diagnosis at multiple levels of abstraction. I. Representing causal relations at multiple levels of abstraction. - Bei-Tseng Bill Chu; James A. Reggia (Int. J. Intell. Syst., 1991)

Modeling diagnosis at multiple levels of abstraction. II. Diagnostic reasoning at multiple levels of abstraction. - Bei-Tseng Bill Chu; James A. Reggia (Int. J. Intell. Syst., 1991)

An experimental study of criteria for hypothesis plausibility. - Stanley Tuhrim; James A. Reggia; Sharon Goodall (J. Exp. Theor. Artif. Intell., 1991)

A Connectionist Approach to Vertex Covering Problems. - Yun Peng 001; James A. Reggia; Tao Li (Int. J. Neural Syst., 1992)

A Competitive Distribution Theory of Neocortical Dynamics. - James A. Reggia; C. Lynne D'Autrechy; Granger G. Sutton III; Michael Weinrich (Neural Comput., 1992)

Minimizing Complexity in Cellular Automata Models of Self-Replication. - James A. Reggia; Hui-Hsien Chou; Steven L. Armentrout; Yun Peng 001 (ISMB, 1993)

Multiple disorder diagnosis with adaptive competitive neural networks. - Sungzoon Cho; James A. Reggia (Artif. Intell. Medicine, 1993)

Neural computation in medicine. - James A. Reggia (Artif. Intell. Medicine, 1993)

A connectionist approach to diagnostic problem solving using causal networks. - James A. Reggia; Yun Peng 001; Stanley Tuhrim (Inf. Sci., 1993)

Learning Competition and Cooperation. - Sungzoon Cho; James A. Reggia (Neural Comput., 1993)

Local conditions for phase transitions in neural networks with variable connection strengths. - Frank E. McFadden; Yun Peng 001; James A. Reggia (Neural Networks, 1993)

Patterns of damage in neural networks: The effects of lesion area, shape and number. - Eytan Ruppin; James A. Reggia (NIPS, 1994)

A Neural Model of Delusions and Hallucinations in Schizophrenia. - Eytan Ruppin; James A. Reggia; David Horn 001 (NIPS, 1994)

A neural model of cortical map reorganization following a focal lesion. - Steven L. Armentrout; James A. Reggia; Michael Weinrich (Artif. Intell. Medicine, 1994)

High-specificity neurological localization using a connectionist model. - Stanley Tuhrim; James A. Reggia; Yun Peng 001 (Artif. Intell. Medicine, 1994)

An Extended Cellular Space Method for Simulating Autocatalytic Oligonucleotides. - Hui-Hsien Chou; James A. Reggia; Rafael Navarro-Gonzalez; Jayoung Wu (Comput. Chem., 1994)

Map Formation in Proprioceptive Cortex. - Sungzoon Cho; James A. Reggia (Int. J. Neural Syst., 1994)

Cortical Map Reorganization as a Competitive Process. - Granger G. Sutton III; James A. Reggia; Steven L. Armentrout; C. Lynne D'Autrechy (Neural Comput., 1994)

Effects of normalization constraints on competitive learning. - Granger G. Sutton III; James A. Reggia (IEEE Trans. Neural Networks, 1994)

Patterns of functional damage in neural network models of associative memory. - Eytan Ruppin; James A. Reggia (Neural Comput., 1995)

Learning activation rules for associative networks. - James A. Reggia; Eric L. Grundstrom; Rita Sloan Berndt (ICNN, 1996)

A computational model of visual hallucinations in migraine. - James A. Reggia; David Montgomery (Comput. Biol. Medicine, 1996)

Learning activation Rules Rather than Connection weights. - Eric L. Grundstrom; James A. Reggia (Int. J. Neural Syst., 1996)

Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication. - Regev Levi; Eytan Ruppin; Yossi Matias; James A. Reggia (Int. J. Neural Syst., 1996)

Alignment of coexisting cortical maps in a motor control model. - Yinong Chen; James A. Reggia (Neural Comput., 1996)

Effects of Varying Parameters on Properties of Self-Organizing Feature Maps. - Sungzoon Cho; Min Jang; James A. Reggia (Neural Process. Lett., 1996)

Does Rotation of Neuronal Population Vectors Equal Mental Rotation? - Carol S. Whitney; James A. Reggia; Sungzoon Cho (Connect. Sci., 1997)

Automatic discovery of self-replicating structures in cellular automata. - Jason D. Lohn; James A. Reggia (IEEE Trans. Evol. Comput., 1997)

Cellular Automata Models of Self-Replicating Systems. - James A. Reggia; Hui-Hsien Chou; Jason D. Lohn (Adv. Comput., 1998)

Computational Models for the Formation of Protocell Structures. - Linglan Edwards; Yun Peng 001; James A. Reggia (Artif. Life, 1998)

Self-Replicating Structures: Evolution, Emergence and Computation. - James A. Reggia; Jason D. Lohn; Hui-Hsien Chou (Artif. Life, 1998)

Seeking order in disorder: computational studies of neurologic and psychiatric diseases. - Eytan Ruppin; James A. Reggia (Artif. Intell. Medicine, 1998)

Computational Studies of Lateralization of Phoneme Sequence Generation. - James A. Reggia; Sharon Goodall; Yuri Shkuro (Neural Comput., 1998)

Simulated callosal lesions in a neural model of left and right hemispheric regions. - Mark Glezer; Yuri Shkuro; James A. Reggia (IJCNN, 1999)

A model of lateralization and asymmetries in cortical maps. - Svetlana Levitan; Ioana Stoica; James A. Reggia (IJCNN, 1999)

Lesion effects in a bihemispheric letter-identification model. - Natalia Shevtsova; James A. Reggia (IJCNN, 1999)

Interhemispheric effects on map organization following simulated cortical lesions. - Svetlana Levitan; James A. Reggia (Artif. Intell. Medicine, 1999)

Pathogenic mechanisms in ischemic damage: a computational study. - Eytan Ruppin; Elad Ofer; James A. Reggia; Kenneth Revett; Sharon Goodall (Comput. Biol. Medicine, 1999)

Lateralization in a bihemispheric neural model of letter identification. - Natalia Shevtsova; James A. Reggia (Neurocomputing, 1999)

The temporal correlation hypothesis for self-organizing feature maps. - Yinong Chen; James A. Reggia (Int. J. Syst. Sci., 2000)

A Computational Model of Lateralization and Asymmetries in Cortical Maps. - Svetlana Levitan; James A. Reggia (Neural Comput., 2000)

Computational Investigation of Hemispheric Specialization and Interactions. - James A. Reggia; Yuri Shkuro; Natalia Shevtsova (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Conditions Enabling the Evolution of Inter-Agent Signaling in an Artificial World. - James A. Reggia; Reiner Schulz 001; Gerald Wilkinson; Juan Uriagereka (Artif. Life, 2001)

Predicting Nearest Agent Distances in Artificial Worlds. - Reiner Schulz 001; James A. Reggia (Artif. Life, 2002)

The role of computational modeling in understanding hemispheric interactions and specialization. - James A. Reggia; Reiner Schulz 001 (Cogn. Syst. Res., 2002)

The Trend Cellular Automata Programming Environment. - Hui-Hsien Chou; Wei Huang; James A. Reggia (Simul., 2002)

Progress in the Simulation of Emergent Communication and Language. - Kyle Wagner; James A. Reggia; Juan Uriagereka; Gerald Wilkinson (Adapt. Behav., 2003)

Cost minimization during simulated evolution of paired neural networks leads to asymmetries and specialization. - Yuri Shkuro; James A. Reggia (Cogn. Syst. Res., 2003)

A Descriptive Encoding Language for Evolving Modular Neural Networks. - Jae-Yoon Jung; James A. Reggia (GECCO (2), 2004)

Extending Self-Organizing Particle Systems to Problem Solving. - Alejandro Rodríguez 003; James A. Reggia (Artif. Life, 2004)

Temporally Asymmetric Learning Supports Sequence Processing in Multi-Winner Self-Organizing Maps. - Reiner Schulz 001; James A. Reggia (Neural Comput., 2004)

Using distributed partial memories to improve self-organizing collective movements. - Ransom K. Winder; James A. Reggia (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A Cellular Automata Model of Competition in Technology Markets with Network Externalities. - Judy K. Frels; Debra Heisler; James A. Reggia; Hans-Joachim Schütze (International Conference on Computational Science (2), 2005)

Evolutionary Discovery of Arbitrary Self-replicating Structures. - Zhijian Pan; James A. Reggia (International Conference on Computational Science (2), 2005)

Diagnostic problem solving using swarm intelligence. - Grecia Lapizco-Encinas; James A. Reggia (SIS, 2005)

Using aggregate motion in multi-agent teams to solve search and transport problems. - Alejandro Rodríguez 003; James A. Reggia (SIS, 2005)

Collective-movement teams for cooperative problem solving. - Alejandro Rodríguez 003; James A. Reggia (Integr. Comput. Aided Eng., 2005)

Evolving processing speed asymmetries and hemispheric interactions in a neural network model. - Alexander Grushin; James A. Reggia (Neurocomputing, 2005)

Mirror Symmetric Topographic Maps Can Arise from Activity-Dependent Synaptic Changes. - Reiner Schulz 001; James A. Reggia (Neural Comput., 2005)

Stigmergic self-assembly of prespecified artificial structures in a constrained and continuous environment. - Alexander Grushin; James A. Reggia (Integr. Comput. Aided Eng., 2006)

Modeling the Impact of Consumer Interactions in Technology Markets. - Judy K. Frels; Debra Heisler; James A. Reggia; Hans-Joachim Schütze (J. Cell. Autom., 2006)

Artificial Evolution of ArbitrarySelf-Replicating Structures. - Zhijian Pan; James A. Reggia (J. Cell. Autom., 2006)

Evolutionary Design of Neural Network Architectures Using a Descriptive Encoding Language. - Jae-Yoon Jung; James A. Reggia (IEEE Trans. Evol. Comput., 2006)

Properties of Self-Replicating Cellular Automata Systems Discovered Using Genetic Programming. - Zhijian Pan; James A. Reggia; Donghong Gao (Adv. Complex Syst., 2007)

Swarm Intelligence Systems Using Guided Self-Organization for Collective Problem Solving. - Alejandro Rodríguez 003; Alexander Grushin; James A. Reggia (Adv. Complex Syst., 2007)

Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits. - Ransom K. Winder; Carlos R. Cortes; James A. Reggia; Malle A. Tagamets (NeuroImage, 2007)

Nested evolution of an autonomous agent using descriptive encoding. - Jae-Yoon Jung; James A. Reggia (GECCO, 2008)

Automated design of distributed control rules for the self-assembly of prespecified artificial structures. - Alexander Grushin; James A. Reggia (Robotics Auton. Syst., 2008)

Predicting the Effects of Alternative Pricing Strategies in an Artificial Society Undergoing Technology Adoption. - Judy K. Frels; Debra Heisler; James A. Reggia (Soft Computing Applications in Business, 2008)

A Simple Oscillatory Short-Term Memory. - James A. Reggia; Jared Sylvester; Scott A. Weems; Michael F. Bunting (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Evolving an autonomous agent for non-Markovian reinforcement learning. - Jae-Yoon Jung; James A. Reggia (GECCO, 2009)

Improving rule extraction from neural networks by modifying hidden layer representations. - Thuan Q. Huynh; James A. Reggia (IJCNN, 2009)

An unsupervised learning method for representing simple sentences. - Derek Monner; James A. Reggia (IJCNN, 2009)

A cooperative combinatorial Particle Swarm Optimization algorithm for side-chain packing. - Grecia Lapizco-Encinas; Carl Kingsford; James A. Reggia (SIS, 2009)

Running memory span: A comparison of behavioral capacity limits with those of an attractor neural network. - Scott A. Weems; Ransom K. Winder; Michael F. Bunting; James A. Reggia (Cogn. Syst. Res., 2009)

A distributed learning algorithm for particle systems. - Alejandro Rodríguez 003; James A. Reggia (Integr. Comput. Aided Eng., 2009)

Plasticity-Induced Symmetry Relationships Between Adjacent Self-Organizing Topographic Maps. - Jared Sylvester; James A. Reggia (Neural Comput., 2009)

An Oscillatory Hebbian Network Model of Short-Term Memory. - Ransom K. Winder; James A. Reggia; Scott A. Weems; Michael F. Bunting (Neural Comput., 2009)

Artificial Evolution of Arbitrary Self-Replicating Structures in Cellular Spaces. - Zhijian Pan; James A. Reggia (Simulating Complex Systems by Cellular Automata, 2010)

Particle Swarm Optimization for multimodal combinatorial problems and its application to protein design. - Grecia Lapizco-Encinas; Carl Kingsford; James A. Reggia (IEEE Congress on Evolutionary Computation, 2010)

Computational Discovery of Instructionless Self-Replicating Structures in Cellular Automata. - Zhijian Pan; James A. Reggia (Artif. Life, 2010)

Self-assembly of neural networks viewed as swarm intelligence. - Charles E. Martin; James A. Reggia (Swarm Intell., 2010)

Parsimonious rule generation for a nature-inspired approach to self-assembly. - Alexander Grushin; James A. Reggia (ACM Trans. Auton. Adapt. Syst., 2010)

Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network. - Derek Monner; James A. Reggia (AGI, 2011)

Towards a Biologically Inspired Question-Answering Neural Architecture. - Derek Monner; James A. Reggia (BICA, 2011)

Cognitive control as a gated cortical net. - Jared Sylvester; James A. Reggia; Scott A. Weems (BICA, 2011)

Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron system. - Hyuk Oh; Rodolphe J. Gentili; James A. Reggia; José L. Contreras-Vidal (EMBC, 2011)

Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks. - Thuan Q. Huynh; James A. Reggia (IEEE Trans. Neural Networks, 2011)

The Role of Working Memory in an Urban Pursuit Scenario. - Ransom K. Winder; James A. Reggia (ALIFE, 2012)

Cortex inspired model for inverse kinematics computation for a humanoid robotic finger. - Rodolphe J. Gentili; Hyuk Oh; Javier Molina; James A. Reggia; José Luis Contreras-Vidal (EMBC, 2012)

Modeling of visuospatial perspectives processing and modulation of the fronto-parietal network activity during action imitation. - Hyuk Oh; Rodolphe J. Gentili; James A. Reggia; José Luis Contreras-Vidal (EMBC, 2012)

Emergent latent symbol systems in recurrent neural networks. - Derek Monner; James A. Reggia (Connect. Sci., 2012)

Evolving Musical Counterpoint: The Chronopoint Musical Evolution System - Jeffrey Power Jacobs; James A. Reggia (CoRR, 2012)

Causally-guided evolutionary optimization and its application to antenna array design. - Timur Chabuk; James A. Reggia; Jason D. Lohn; Derek S. Linden (Integr. Comput. Aided Eng., 2012)

A generalized LSTM-like training algorithm for second-order recurrent neural networks. - Derek Monner; James A. Reggia (Neural Networks, 2012)

Symbolic Representation of Recurrent Neural Network Dynamics. - Thuan Q. Huynh; James A. Reggia (IEEE Trans. Neural Networks Learn. Syst., 2012)

Human-Robotic Collaborative Intelligent Control for Reaching Performance. - Rodolphe J. Gentili; Hyuk Oh; Isabelle M. Shuggi; Ronald N. Goodman; Jeremy C. Rietschel; Bradley D. Hatfield; James A. Reggia (HCI (24), 2013)

The added value of gating in evolved neurocontrollers. - Timur Chabuk; James A. Reggia (IJCNN, 2013)

Robust human action recognition via long short-term memory. - Alexander Grushin; Derek Monner; James A. Reggia; Ajay Mishra (IJCNN, 2013)

The rise of machine consciousness: Studying consciousness with computational models. - James A. Reggia (Neural Networks, 2013)

Recurrent Neural Collective Classification. - Derek Monner; James A. Reggia (IEEE Trans. Neural Networks Learn. Syst., 2013)

Conscious Machines: The AI Perspective. - James A. Reggia (AAAI Fall Symposia, 2014)

Predicting Electrocardiogram and Arterial Blood Pressure Waveforms with Different Echo State Network Architectures. - Allan Fong; Ranjeev Mittu; Raj M. Ratwani; James A. Reggia (AMIA, 2014)

Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance. - Rodolphe J. Gentili; Hyuk Oh; Di-Wei Huang; Garrett E. Katz; Ross H. Miller; James A. Reggia (EMBC, 2014)

Evolutionary design of self-organizing particle systems for collective problem solving. - Benjamin Bengfort; Philip Y. Kim; Kevin Harrison; James A. Reggia (SIS, 2014)

An Object-Centric Paradigm for Robot Programming by Demonstration. - Di-Wei Huang; Garrett E. Katz; Joshua D. Langsfeld; Hyuk Oh; Rodolphe J. Gentili; James A. Reggia (HCI (15), 2015)

A virtual demonstrator environment for robot imitation learning. - Di-Wei Huang; Garrett E. Katz; Joshua D. Langsfeld; Rodolphe J. Gentili; James A. Reggia (TePRA, 2015)

Lambda and the Edge of Chaos in Recurrent Neural Networks. - Jared Seifter; James A. Reggia (Artif. Life, 2015)

Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks. - Charles E. Martin; James A. Reggia (Comput. Intell. Neurosci., 2015)

A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements. - Rodolphe J. Gentili; Hyuk Oh; Di-Wei Huang; Garrett E. Katz; Ross H. Miller; James A. Reggia (Int. J. Soc. Robotics, 2015)

Self-organizing maps based on limit cycle attractors. - Di-Wei Huang; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2015)

Imitation Learning as Cause-Effect Reasoning. - Garrett E. Katz; Di-Wei Huang; Rodolphe J. Gentili; James A. Reggia (AGI, 2016)

Engineering neural systems for high-level problem solving. - Jared Sylvester; James A. Reggia (Neural Networks, 2016)

A Self-Organizing Map Architecture for Arm Reaching Based on Limit Cycle Attractors. - Di-Wei Huang; Rodolphe J. Gentili; James A. Reggia (EAI Endorsed Trans. Self Adapt. Syst., 2016)

A limit-cycle self-organizing map architecture for stable arm control. - Di-Wei Huang; Rodolphe J. Gentili; Garrett E. Katz; James A. Reggia (Neural Networks, 2017)

Learning in a Continuous-Valued Attractor Network. - Baram Sosis; Garrett E. Katz; James A. Reggia (ICMLA, 2018)

Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. - James A. Reggia; Garrett E. Katz; Gregory P. Davis (Frontiers Robotics AI, 2018)

A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition. - Garrett E. Katz; Di-Wei Huang; Theresa Hauge; Rodolphe J. Gentili; James A. Reggia (IEEE Trans. Cogn. Dev. Syst., 2018)

Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. - Garrett E. Katz; James A. Reggia (IEEE Trans. Neural Networks Learn. Syst., 2018)

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. - Sanjukta Krishnagopal; Garrett E. Katz; Michelle Girvan; James A. Reggia (IJCNN, 2019)

A programmable neural virtual machine based on a fast store-erase learning rule. - Garrett E. Katz; Gregory P. Davis; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2019)

Reinforcement-based Program Induction in a Neural Virtual Machine. - Garrett E. Katz; Khushboo Gupta; James A. Reggia (IJCNN, 2020)

Artificial Conscious Intelligence. - James A. Reggia; Garrett E. Katz; Gregory P. Davis (J. Artif. Intell. Conscious., 2020)

A Neurocomputational Model of Posttraumatic Stress Disorder. - Gregory P. Davis; Garrett E. Katz; Daniel Soranzo; Nathaniel Allen; Matthew J. Reinhard; Rodolphe J. Gentili; Michelle E. Costanzo; James A. Reggia (NER, 2021)

Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm. - Garrett E. Katz; Akshay; Gregory P. Davis; Rodolphe J. Gentili; James A. Reggia (Frontiers Neurorobotics, 2021)

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot. - Theresa Hauge; Garrett E. Katz; Gregory P. Davis; Di-Wei Huang; James A. Reggia; Rodolphe J. Gentili (Int. J. Soc. Robotics, 2021)

Compositional memory in attractor neural networks with one-step learning. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2021)

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. - Alexandra A. Shaver; Neehar Peri; Remy Mezebish; George Matthew; Alyza Berson; Christopher Gaskins; Gregory P. Davis; Garrett E. Katz; Immanuel Babu Henry Samuel; Matthew J. Reinhard; Michelle E. Costanzo; James A. Reggia; et al. (HCI (9), 2022)

NeuroLISP: High-level symbolic programming with attractor neural networks. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Neural Networks, 2022)

Multiplex Temporal Networks for Rapid Mental Workload Classification. - Arya Teymourlouei; Joshua Stone; Rodolphe J. Gentili; James A. Reggia (BI, 2023)

Decoding EEG Signals with Visibility Graphs to Predict Varying Levels of Mental Workload. - Arya Teymourlouei; Rodolphe J. Gentili; James A. Reggia (CISS, 2023)

Cognitive-motor performance assessment during in-person and remote practice of action sequences. - Alexandra A. Shaver; Calvin M. Lu; Christopher Gaskins; James A. Reggia; James Purtilo; Rodolphe J. Gentili (NER, 2023)

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. - Gregory P. Davis; Garrett E. Katz; Rodolphe J. Gentili; James A. Reggia (Int. J. Soc. Robotics, 2023)

Neurocognitive assessment under various human-robot teaming environments. - Anna L. Packy; Jayesh Jayashankar; Arya Teymourlouei; Joshua Stone; Hyuk Oh; Garrett E. Katz; James A. Reggia; Rodolphe J. Gentili (EMBC, 2024)

Functional Connectivity Methods for Multi-Class Mental Workload Classification. - Arya Teymourlouei; Minsi Hu; Rodolphe J. Gentili; James A. Reggia (EMBC, 2024)

Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context. - Jayesh Jayashankar; Anna L. Packy; Arya Teymourlouei; Alexandra A. Shaver; Garrett E. Katz; James A. Reggia; James Purtilo; Rodolphe J. Gentili (HCI (11), 2024)