Investigation of Dynamic Algorithm for Pattern Recognition in Cerebral Cortex

Abstract

The goal of this work is to characterize mathematically the essential mechanisms and principles of operation of the mamalian olfactory neural network and evaluate its computation and pattern recognition capabilities. The intent is to explicate novel design principles that may underly the superior performance of biological systems in pattern recognition through detailed study of a particular system. This research will be for the purpose of establishing a theoretical framework for the evaluation of architectures and algorithms for parallel computation - with particular emphasis on neural networks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA204843

Entities

People

  • Walter J. Freeman

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Biological Sciences
  • Computations
  • Computing System Architectures
  • Differential Equations
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Equations
  • Frequency
  • Mathematical Analysis
  • Neural Networks
  • Oscillators
  • Pattern Recognition
  • Recognition
  • Systems Biology
  • Theorems

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks