Neuromorphic Systems: From Biological Foundations to System Properties and Real World Applications.

Abstract

This is written to provide a semi-annual progress report for the contract N00014-91-J-1316 entitled 'Neuromorphic Systems: From Biological Foundations to System Properties and Real World Applications.' The major goal of our research is to elucidate the biological mechanisms that underlie learning and memory: to find principles of organization that can account both for experimental data on the cellular level and, when applied to large numbers of neurons that receive sensory and/or interneuronal information, for various higher level system properties. Then to apply this in the construction of advanced neural architectures that can be used in practical applications such as mine detection.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA333498

Entities

People

  • Joel L. Davis

Organizations

  • Brown University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Brain
  • Computational Science
  • Computer Programs
  • Data Acquisition
  • Detection
  • Experimental Data
  • Filters
  • Firing Rate
  • Frequency
  • Frequency Response
  • Hidden Markov Models
  • Neural Networks
  • Neurosciences
  • Probability
  • Recognition
  • Side Looking Sonar
  • Visual Cortex

Readers

  • Artificial Intelligence
  • Neuroscience
  • Technical Research and Report Writing.