Analysis and Synthesis of Adaptive Neural Elements and Assemblies
Annual rept. 1 Aug 1988-31 Jul 1989
TEXAS UNIV MEDICAL SCHOOL AT HOUSTON DEPT OF NEUROBIOLOGY AND ANATOMY
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The objectives of this research are to analyze the properties of identified neurons and neural circuits that exhibit nonassociative and associative plasticity and to examine the role of neuronal plasticity in learning. During the period between August 1, 1988 and July 31 1989, progress has been made in four areas. First, a model of the biophysical processes within sensory neurons that contribute to nonassociative and associative learning was developed. Second, a model of biophysical and cellular processes underlying rhythmic bursting patterns of activity in neuron R15 was developed. Third, a real-time model of associative learning was incorporated into small neural networks, which include facilitory and inhibitory interneurons, and the ability of these networks to stimulate higher-order features of classical conditioning was examined. Fourth, a model which stimulates aspects of classical conditioning was incorporated into a small neural network, and the ability of this neural network to simulate features of operant conditioning was examined. Keywords Aplysia Learning Memory Information storage Artificial intelligence.
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