Final Technical Report for contract N00014-89-J-3179 (University of California)

Abstract

The funded research has had as its primary goal the identification of the computational significance of key neurobiological characteristics found in a number of telencephalic brain regions. Recent findings have identified novel, computationally valuable algorithms derived from simulation and analysis of specific brain networks, including the olfactory system and the hippocampus as well as auditory neocortex. Analysis has shown that, as might be expected from networks faced with demanding signal-processing tasks under limited-resource situations, these brain-based algorithms have very efficient time and space complexity characteristics and are directly applicable to signal processing tasks of known difficulty, including processing of complex time-varying signals such as speech and sonar.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA269374

Entities

People

  • Gary Lynch
  • Richard Granger

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Brain
  • Cerebral Cortex
  • Cognitive Neuroscience
  • Cognitive Science
  • Computational Neuroscience
  • Computations
  • Computer Science
  • Network Simulation
  • Neurosciences
  • New York
  • Parallel Computing
  • Parallel Processing
  • Signal Processing
  • Simulations
  • Students
  • Training

Readers

  • Distributed Systems and Data Platform Development
  • Neuroscience
  • Radar Systems Engineering.

Technology Areas

  • Space