Jim Reggia

Professor Emeritus

2252 Iribe Center

(301) 405-2686

(301) 405-6707

Academic Web Page

Education:

Ph.D., University of Maryland (Computer Science)

Biography:

Jim Reggia is a professor emeritus of computer science in the University of Maryland Institute for Advanced Computer Studies.

His research covers neural computation, artificial intelligence, genetic programming, and artificial life. Reggia has developed methods for creating integrated neuro-computational systems, focusing on modeling cortical regions for visual and language processing, as well as mechanisms like self-organizing maps and working memory.

Go here to view Reggia‘s academic publications.

Publications

2010

Grushin A, Reggia JA. 2010. Parsimonious rule generation for a nature-inspired approach to self-assembly. ACM Transactions on Autonomous and Adaptive Systems (TAAS). 5(3):1-24.

Martin CE, Reggia JA. 2010. Self-assembly of neural networks viewed as swarm intelligence. Swarm Intelligence. 4(1):1-36.

2009

Monner D, Reggia JA. 2009. An unsupervised learning method for representing simple sentences. Neural Networks, 2009. IJCNN 2009. International Joint Conference on. :2133-2140.

Lapizco-Encinas G, Kingsford C, Reggia JA. 2009. A cooperative combinatorial Particle Swarm Optimization algorithm for side-chain packing. IEEE Swarm Intelligence Symposium, 2009. SIS '09. :22-29.

Huynh TQ, Reggia JA. 2009. Improving rule extraction from neural networks by modifying hidden layer representations. Neural Networks, 2009. IJCNN 2009. International Joint Conference on. :1316-1321.

Winder RK, Reggia JA, Weems SA, Bunting MF. 2009. An oscillatory hebbian network model of short-term memory. Neural computation. 21(3):741-761.

Weems SA, Winder RK, Bunting M, Reggia JA. 2009. Running memory span: A comparison of behavioral capacity limits with those of an attractor neural network. Cognitive Systems Research. 10(2):161-171.

Rodríguez A, Reggia JA. 2009. A distributed learning algorithm for particle systems. Integrated Computer-Aided Engineering. 16(1):1-20.

2008

Reggia JA, Tagamets M, Contreras-Vidal J, Jacobs DW, Weems S, Naqvi W, Yang C. 2008. The Maryland Large-Scale Integrated Neurocognitive Architecture.

Grushin A, Reggia JA. 2008. Automated design of distributed control rules for the self-assembly of prespecified artificial structures. Robotics and Autonomous Systems. 56(4):334-359.

2007

RodrIGuez A, Grushin A, Reggia JA, HAUPTMAN AMI, SIPPER M, PAN Z, Reggia JA, GAO D, DARABOS C, GIACOBINI M et al.. 2007. Swarm Intelligence Systems Using Guided Self-Organization for Collective Problem Solving. Advances in Complex Systems. 10(1):5-34.

Winder R, Cortes CR, Reggia JA, Tagamets MA. 2007. Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits. Neuroimage. 34(3):1093-1107.

2006

Davis LS, Basili VR, V.S. Subrahmanian, Reggia JA, Aloimonos Y. 2006. Real-Time Distributed Algorithms for Visual and Battlefield Reasoning.

Reggia JA, Tagamets M, Contreras-Vidal J, Jacobs DW, Weems S, Naqvi W, Winder R, Chabuk T, Jung J, Yang C. 2006. Development of a Large-Scale Integrated Neurocognitive Architecture - Part 2: Design and Architecture. UMIACS-TR-2006-43

Reggia JA, Tagamets M, Contreras-Vidal J, Weems S, Jacobs DW, Winder R, Chabuk T. 2006. Development of a Large-Scale Integrated Neurocognitive Architecture Part 1: Conceptual Framework. UMIACS-TR-2006-33

Grushin A, Reggia JA. 2006. Stigmergic self-assembly of prespecified artificial structures in a constrained and continuous environment. Integrated Computer-Aided Engineering. 13(4):289-312.

Jung JY, Reggia JA. 2006. Evolutionary design of neural network architectures using a descriptive encoding language. Evolutionary Computation, IEEE Transactions on. 10(6):676-688.

2005

Grushin A, Reggia JA. 2005. Evolving processing speed asymmetries and hemispheric interactions in a neural network model. Neurocomputing. 65:47-53.

PAN Z, Reggia JA. 2005. Evolutionary discovery of arbitrary self-replicating structures. Computational Science–ICCS 2005. :404-411.

Schulz R, Reggia JA. 2005. Mirror symmetric topographic maps can arise from activity-dependent synaptic changes. Neural computation. 17(5):1059-1083.

RodrIGuez A, Reggia JA. 2005. Using aggregate motion in multi-agent teams to solve search and transport problems. Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE. :373-380.

Lapizco-Encinas GC, Reggia JA. 2005. Diagnostic problem solving using swarm intelligence. Swarm Intelligence Symposium, 2005. SIS 2005. Proceedings 2005 IEEE. :365-372.

Rodríguez A, Reggia JA. 2005. Collective-movement teams for cooperative problem solving. Integrated Computer-Aided Engineering. 12(3):217-235.

2004

Rodríguez A, Reggia JA. 2004. Extending self-organizing particle systems to problem solving. Artificial Life. 10(4):379-395.

Schulz R, Reggia JA. 2004. Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps. Neural Computation. 16(3):535-561.

Jung JY, Reggia JA. 2004. A descriptive encoding language for evolving modular neural networks. Genetic and Evolutionary Computation–GECCO 2004. :519-530.

Winder R, Reggia JA. 2004. Using distributed partial memories to improve self-organizing collective movements. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on. 34(4):1697-1707.

2003

Shkuro Y, Reggia JA. 2003. Cost minimization during simulated evolution of paired neural networks leads to asymmetries and specialization. Cognitive Systems Research. 4(4):365-383.

2002

Schulz R, Reggia JA. 2002. Predicting nearest agent distances in artificial worlds. Artificial life. 8(3):247-264.

Shevtsova N, Reggia JA. 2002. Effects of callosal lesions in a model of letter perception. Cognitive, Affective, & Behavioral Neuroscience. 2(1):37-37.

2001

Radio MJ, Reggia JA, Berndt RS. 2001. Learning word pronunciations using a recurrent neural network. Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference on. 1:11-15.

Ayers D, Reggia JA. 2001. Evolving columnar circuitry for lateral cortical inhibition. Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference on. 1:278-283.

Ruppin E, Reggia JA. 2001. Cortical Spreading depression and the pathogenesis of brain disorders: a computational and neural network-based investigation. Neurological research. 23(5):447-456.

Reggia JA, Schulz R, Wilkinson GS, Uriagereka J. 2001. Conditions enabling the emergence of inter-agent signalling in an artificial world. Artificial Life. 7(1):3-32.

2000

Levitan S, Reggia JA. 2000. A computational model of lateralization and asymmetries in cortical maps. Neural computation. 12(9):2037-2062.

Reggia JA, Sutton III GG, Lynne C, D'Autrechy SC, Armentrout SL. 2000. Cortical inhibition as explained by the competitive distribution hypothesis. Network models for control and processing. :31-62.

Chen Y, Reggia JA. 2000. The temporal correlation hypothesis for self-organizing feature maps. International Journal of Systems Science. 31(7):911-921.

Reggia JA, Schultz R, Uriagereka J, Wilkinson J. 2000. A SIMULATION ENVIRONMENT FOR EVOLVING MULTIAGENT COMMUNICATION. UMIACS-TR-2000-64

1999

Levitan S, Stoica I, Reggia JA. 1999. A model of lateralization and asymmetries in cortical maps. Neural Networks, 1999. IJCNN'99. International Joint Conference on. 1:121-124.

Levitan S, Reggia JA. 1999. Interhemispheric effects on map organization following simulated cortical lesions. Artificial intelligence in medicine. 17(1):59-85.

Shevtsova N, Reggia JA. 1999. Lesion effects in a bihemispheric letter-identification model. Neural Networks, 1999. IJCNN'99. International Joint Conference on. 1:215-218.

Shevtsova N, Reggia JA. 1999. A neural network model of lateralization during letter identification. Journal of Cognitive Neuroscience. 11(2):167-181.

Ruppin E, Ofer E, Reggia JA, Revett K. 1999. Pathogenic mechanisms in ischemic damage: a computational study. Computers in biology and medicine. 29(1):39-59.

Ruppin E, Revett K, Ofer E, Goodall S, Reggia JA. 1999. Penumbral tissue damage following acute stroke: a computational investigation. Progress in brain research. 121:243-260.

1998

Reggia JA, Lohn JD, Chou HH. 1998. Self-replicating structures: evolution, emergence, and computation. Artificial Life. 4(3):283-302.

Reggia JA, Chou HH, Lohn JD. 1998. Cellular automata models of self-replicating systems. Advances in Computers. 47:141-183.

Revett K, Ruppin E, Goodall S, Reggia JA. 1998. Spreading depression in focal ischemia: A computational study. Journal of Cerebral Blood Flow & Metabolism. 18(9):998-1007.

Peng LEY, Reggia JA. 1998. Computational Models for the Formation of Protocell Structures. Artificial Life. 4:61-77.

Reggia JA, Goodall S, Shkuro Y. 1998. Computational studies of lateralization of phoneme sequence generation. Neural Computation. 10(5):1277-1297.

Chou HH, Reggia JA. 1998. Problem solving during artificial selection of self-replicating loops* 1. Physica D: Nonlinear Phenomena. 115(3-4):293-312.

1997

Goodall S, Reggia JA, Chen Y, Ruppin E, Whitney C. 1997. A computational model of acute focal cortical lesions. Stroke. 28(1):101-101.

Lohn JD, Reggia JA. 1997. Automatic discovery of self-replicating structures in cellular automata. Evolutionary Computation, IEEE Transactions on. 1(3):165-178.

Reggia JA, Chou HH. 1997. Emergence of self-replicating structures in cellular automata space. Physica D. 110:252-276.

Reggia JA, Ruppin E, Berndt RS. 1997. Computer models: A new approach to the investigation of disease. MD Computing. 14:160-168.

1996

Ruppin E, Reggia JA, Horn D. 1996. A neural model of positive schizophrenic symptoms. Schizophrenia Bulletin. 22(1):105-123.

Ruppin E, Reggia JA, Horn D. 1996. Pathogenesis of schizophrenic delusions and hallucinations: a neural model. Schizophrenia bulletin. 22(1):105-105.

Reggia JA, Grundstrom E, Berndt RS. 1996. Learning activation rules for associative networks. Neural Networks, 1996., IEEE International Conference on. 1:365-370.

Ruppin E, Horn D, Levy N, Reggia JA. 1996. Computational studies of synaptic alterations in Alzheimer’s disease. Neural modeling of brain and cognitive disorders. :63-87.

Grundstrom EL, Reggia JA. 1996. Learning Activation Rules Rather Than Connection Weights. International journal of neural systems. 7(2):129-148.

Cho S, Jang M, Reggia JA. 1996. Effects of varying parameters on properties of self-organizing feature maps. Neural Processing Letters. 4(1):53-59.

Chen Y, Reggia JA. 1996. Alignment of coexisting cortical maps in a motor control model. Neural computation. 8(4):731-755.

1995

Ruppin E, Reggia JA. 1995. A neural model of memory impairment in diffuse cerebral atrophy. The British Journal of Psychiatry. 166(1):19-19.

Ruppin E, Reggia JA. 1995. Patterns of functional damage in neural network models of associative memory. Neural computation. 7(5):1105-1127.

Lohn JD, Reggia JA. 1995. Discovery of self-replicating structures using a genetic algorithm. Evolutionary Computation, 1995., IEEE International Conference on. 2:678-683.

Reggia JA. 1995. Symmetries of natural and artificial neural networks. Symmetry: Culture and Science. 6:446-449.

Tagamets MA, Horwitz B, Reggia JA. 1995. A large-scale neural model linking local neuronal dynamics to positron emission tomography (PET) regional cerebral blood ffow (rCBF) data. Soc Neurosci Abstr. 21:1988-1988.

Ruppin E, Reggia JA, Horn D. 1995. A neural model of delusions and hallucinations in schizophrenia. Advances in Neural Information Processing Systems. :149-156.

Hilke J, Reggia JA, Navarro-Gonzalez R, Lohn J. 1995. A modified cellular automata model of nucleotide interactions and non-enzymatic transcription of DNA. inbs. :136-136.

1994

Chou HH, Reggia JA, Navarro-Gonzalez R, Wu J. 1994. An extended cellular space method for simulating autocatalytic oligonucleotides. Computers & chemistry. 18(1):33-43.