Accession Number : ADA187047
Title : Analysis and Synthesis of Adaptive Neural Elements.
Descriptive Note : Final rept. 1 Aug 84-31 Jul 87,
Corporate Author : TEXAS UNIV MEDICAL SCHOOL AT HOUSTON
Personal Author(s) : Byrne, John H
PDF Url : ADA187047
Report Date : 30 Sep 1987
Pagination or Media Count : 11
Abstract : The overall goal of this research is to provide insights into the adaptive capabilities of individual neurons, which will lead to the development of machines having some of the information processing capabilities of the nervous system. During the period between 01 August 1984 and 31 July 1987, significant progress has been in three major directions. First, experimental studies on the modulation of ionic conductance mechanisms have been performed on individual neurons that are believed to contribute to neuronal plasticity and classical conditioning of defensive reflexes. Second, we have begun to identify elements of the neuronal circuit that contributes to operant conditioning of feeding behavior. Third, a single cell neuronal model for classical conditioning has been developed and simulated on a digital computer. Keywords: Learning, Memory, Information storage, Artificial intelligence.
Descriptors : *ARTIFICIAL INTELLIGENCE, *DATA STORAGE SYSTEMS, *NERVE CELLS, ADAPTIVE SYSTEMS, CELLS, CIRCUITS, DIGITAL COMPUTERS, EXPERIMENTAL DATA, INFORMATION PROCESSING, LEARNING, MODELS, MODULATION, NERVOUS SYSTEM, PLASTIC PROPERTIES, SYNTHESIS
Subject Categories : Bionics
Distribution Statement : APPROVED FOR PUBLIC RELEASE