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Neuroscience and Connectionist Theory
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Contents: B.L. McNaughton, L. Nadel, Hebb-Marr Networks and the Neurobiological Representation of Action in Space. M.F. Bear, L.N. Cooper, Molecular Mechanisms for Synaptic Modification in the Visual Cortex: Interaction Between Theory and Experiment. R. Granger, J. Ambros-Ingerson, U. Staubli, G. Lynch, Memorial Operation of Multiple, Interacting Simulated Brain Structures. M.A. Gluck, E.S. Reifsnider, R.F. Thompson, Adaptive Signal Processing and the Cerebellum: Models of Classical Conditioning and VOR Adaptation. W.B. Levy, C.M. Colbert, N.L. Desmond, Elemental Adaptive Processes of Neurons and Synapses: A Statistical/Computational Perspective. H.T. Wang, B. Mathur, C. Koch, I Thought I Saw It Move: Computing Optical Flow in the Primate Visual System. K.D. Miller, Correlation-Based Models of Neural Development. D. Zipser, Modeling Cortical Computation With Backpropagation.

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Mark A. Gluck, David E. Rumelhart

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"...provides good evidence that neuroscience continues to provide new inspiration for computational modelers."
—Artificial Intelligence"There are important messages that can be gleaned by contemplating the collection as a whole....The future of computational neuroscience over the long-term must involve psychologists if it is to maintatin relevance and intellectual rigor. Neuroscience and Connectionist Theory points the way."
—Contemporary Psychology

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