Long Term Synaptic Plasticity and Learning in Neuronal Networks.

Abstract

The working hypothesis has been that longterm synaptic potentiation may mediate certain of the mnemonic functions of the hippocampal circuitry. The discovery of an underlying Hebbian conjunctive mechanism has boosted confidence in this hypothesis. One major effort of the past year was to summarize and integrate this AFOSR supported discovery into a more general theoretical and experimental framework. In regard to the 4 specific aims, development of the fluctuation algorithm has been completed, and it was applied to synaptic fluctuations obtained using the loose patch clamp method (aim 2). THe algorithm is currently running on a mainframe at UCLA. It is now being implemented on a small workstation (Macintosh II). As soon as it is working on the Mac II, the quantal analysis in hippocampus will begin (aim 1). The culture method is underway (aim 3) and a first-generation video microscopic technique was developed for visualizing neurons and their synapses to see if the latter move during activity (aim 4).

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 1987
Accession Number
ADA186834

Entities

People

  • Thomas H. Brown

Tags

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  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Biological Laboratories
  • Biological Sciences
  • Brain
  • California
  • Cells
  • Cellular Structures
  • Classification
  • Mainframe Computers
  • Microscopy
  • Neural Networks
  • Neuroglia
  • Neurosciences
  • Physical Properties
  • Plastic Properties
  • Psychology
  • Security
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  • Biology
  • Chemistry

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  • Neural Network Machine Learning.
  • Neuroscience
  • Theoretical Analysis.