Accession Number : ADA299559
Title : Self-Organization of Hebbian Synapses on Hippocampal Neurons.
Descriptive Note : Final technical rept.,
Corporate Author : YALE UNIV NEW HAVEN CT DEPT OF PSYCHOLOGY
Personal Author(s) : Brown, Thomas H.
PDF Url : ADA299559
Report Date : 07 SEP 1995
Pagination or Media Count : 4
Abstract : To reverse-engineer the learning machinery of the brain it is necessary to determine the computations performed by biological neurons and neural circuits and to implement these on a fast platform. This requires defining the device characteristics of the individual neurons and the mechanisms of use-dependent synaptic plasticity. The research has produced numerous publications and abstracts plus presentations at several meetings. There have been major technical, theoretical, and experimental break-throughs. The new technology will result in commercia1 developments and significant scientific advances. Transitions to industry have been numerous. The near-term objective of this original proposal was to create models of the key types of hippocampal neurons and be able to implement these on a sufficiently fast platform that we could extract some of their key features.
Descriptors : *NEURAL NETS, *SYNAPSE, *HIPPOCAMPUS, COMPUTATIONS, INDUSTRIES, BIOLOGY, BRAIN, MODELS, PLATFORMS, MACHINES, NERVE CELLS, TRANSITIONS, LEARNING.
Subject Categories : Anatomy and Physiology
Distribution Statement : APPROVED FOR PUBLIC RELEASE