SELECTED PAPERS ON NEURAL COMPUTATION
Last Updated April 1997
Wang P., Seidman S., and Reggia, J. Analysis of Competition-Based Spreading Activation in Connectionist Models, International Journal of Man Machine Studies, 28, 1988, 77-97.
Reggia J., and Edwards M. Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths, Neural Computation, 2, 1990, 523-535.
Reggia J, Peng Y, and Bourret P: Recent Applications of Competitive Activation Mechanisms, in Neural Networks: Advances and Applications, E. Gelenbe (ed.), Elsevier Science Publishers, 1991, 33-62
McFadden F, Peng Y. and Reggia J. Local Conditions for Phase Transitions in Neural Networks with Variable Connection Strengths, Neural Networks, 6, 1993, 667-676.
Sutton G., Reggia J., and Maisog J. Competitive Learning Using Competitive Activation Rules, Proc. Intl. Joint Conference on Neural Networks, II, June 1990, 285-291.
Sutton G., Reggia J., and Maisog J. Supervised and Reinforced Competitive Learning, Proc. Intl. Joint Conf. on Neural Networks, I, June 1990, 563-567.
Cho S. and Reggia J. Learning Competition and Cooperation, Neural Computation, 5, 1993, 242-259.
Sutton G and Reggia J. Effects of Normalization Constraints on Competitive Learning, IEEE Trans. Neural Nets, 5, 1994, 502-504.
Grundstrom E. and Reggia J. Learning Activation Rules Rather than Connection Weights, Internat. J. Neural Systems, 7, 1996, 129-147.
Reggia J, Grundstrom E and Berndt R. Learning Activation Rules for Associative Networks, Internal. Conf. on Neural Networks, I, IEEE, 1996, 365-370.
Reggia J, D'Autrechy C, Sutton G & Weinrich M. A Competitive Distribution Theory of Neocortical Dynamics, Neural Computation, 1992, 4, 287-317.
Cho S and Reggia J. Learning Visual Coordinate Transformations with Competition, Proc. Intl. Joint Conf. on Neural Networks, IEEE, IV, 1992, 49-54.
Cho S & Reggia J. Map Formation in Proprioceptive Cortex, Internat. J. of Neural Systems, 5, 1994, 87-101.
Cho S, Jang M & Reggia J. Distributed Population Representation in Proprioceptive Cortex, Neural Networks: The Statistical Mechanics Perspective, Oh J et al (eds.), World Scientific, 1995, 294-304.
Cho S, Reggia J & Jang M. A Learning Sensorimotor Map of Arm Movements, in Neural Systems for Control, O. Omidvar & D. Elliott (ed.), Academic Press, 1996.
Chen Y. and Reggia J. Alignment of Coexisting Cortical Maps in a Motor Control Model, Neural Computation, 8, 1996, 731-755.
Cho S, Jang M & Reggia J. Effects of Varying Parameters on Properties of Self-Organizing Feature Maps, Neural Processing Letters, 4, 1996, 53-59.
Levi R, Ruppin E, Matias Y. and Reggia J. Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-cortical Communication, Int. J. Neural Systems, 1996, in press.
Whitney C, Reggia J and Cho S. Does Rotation of Neuronal Population Vectors Equal Mental Rotation?, Connection Science, 1997, in press.
Modeling Brain/Cognitive Disorders
Reggia J., Marsland P., and Berndt R. Competitive Dynamics in a Dual-Route Connectionist Model of Print-to-Sound Transformation, Complex Systems, 2, 1988, 509-547.
Sutton G, Reggia J, Armentrout S, and D'Autrechy C: Map Reorganization as a Competitive Process, Neural Computation, 6, 1994, 1-13.
Reggia J, Berndt R. and D'Autrechy C. Connectionist Models in Neuropsychology, Handbook of Neuropsychology, Vol. 9, NY: Elsevier, 1994, 297-333.
Weinrich M, Sutton G, Reggia J and D'Autrechy C. Adaptation of Non-Competitive and Competitive Neural Networks to Focal Lesions, J. Artificial Neural Networks, 1, 1994, 51-60.
Armentrout S, Reggia J, and Weinrich M. A Neural Model of Cortical Map Reorganization Following a Focal Lesion, Artificial Intelligence in Medicine, 6, 1994, 383-400.
Ruppin E & Reggia J. A Neural Model of Memory Impairment in Diffuse Cerebral Atrophy, British Journal of Psychiatry, 166, 1995, 19-28.
Weinrich M, Armentrout S & Reggia J. A Neural Model of Recovery from Lesions in the Somatosensory System, J. Neurologic Rehabilitation, 9, 1995, 25-32.
Ruppin E & Reggia J. Patterns of Functional Damage in Neural Network Models of Associative Memory, Neural Computation, 7, 1995, 1105-1127.
Ruppin E, Reggia J. & Horn D. Pathogenesis of Schizophrenic Delusions and Hallucinations: A Neural Model, Schizophrenia Bulletin, 22, 1996, 105-123.
Reggia J, Ruppin E & Berndt R (editors): Neural Modeling of Brain and Cognitive Disorders, World Scientific, 1996.
Whitney C, Berndt R & Reggia J. Simulation of Neurogenic Reading Disorders with a Dual-Route Connectionist Model, in Neural Models of Brain and Cognitive Disorders, above, 1996.
Reggia J & Montgomery D. A Computational Model of Visual Hallucinations in Migraine, Computers in Biology and Medicine, 26, 1996, 133-141.
Goodall S, Reggia J, Chen Y, Ruppin E and Whitney C. A Computational Model of Acute Focal Cortical Lesions, Stroke, 28, 1997, 101-109.
Lateralization and Asymmetry
Reggia J. Symmetries of Natural and Artificial Neural Networks, Symmetry: Culture and Science, 6, 1995, 446-449.
Reggia J, Goodall S, Chkouro I, & Montgomery D. A Computational Model of Language Lateralization, Proc. Ann. Meeting Internat. Behav. Neurosci. Soc., abstract, 1997, in press.
D'Autrechy C.L., Reggia J., Sutton G., and Goodall, S. A General Purpose Simulation Environment for Developing Connectionist Models, Simulation, 51, 1988, 5-19.
Peng Y. and Reggia J. A Connectionist Model for Diagnostic Problem Solving, IEEE Transactions on Systems, Man and Cybernetics, 19, 1989, 285-298.
Wald J., Farach M., Tagamets M., and Reggia J. Generating Plausible Diagnostic Hypotheses with Self-Processing Causal Networks, Journal of Exper. and Theoret. Artificial Intelligence, 1, 1989, 91-112.
Peng Y., Reggia J., and Li T. A Connectionist Approach to Vertex Covering Problems, International Journal of Neural Systems, 3, 1992, 43-56.
Reggia J, Peng Y & Tuhrim S. A Connectionist Approach to Diagnostic Problem-Solving Using Causal Networks, Information Sciences, 70, 1993, 27-48.
Cho S. and Reggia J. Multi-Disorder Diagnosis with Adaptive Competitive Networks, Artificial Intelligence in Medicine, 5, 1993, 469-487.
Tuhrim S, Reggia J & Peng Y. High-Specificity Neurological Localization Using a Connectionist Model, Artificial Intelligence in Medicine, 6, 1994, 521-532.
Baykal N. Reggia J, Yalabik N, et al. Feature Discovery and Classification of Doppler Umbilical Artery Blood Flow Velocity Waveforms, Computers in Biology and Medicine, 26, 1996, 451-462.