PATTERN RECOGNITION AND INFORMATION PROCESSING.

Abstract

In the area of machine learning, work was initiated in applying techniques developed by Medgyessy (1961) to unsupervised adaptive pattern recognition. Medgyessy's univariate techniques were extended to the multivariate normal case, and preliminary work was begun on devising techniques to handle approximations to such functions. Another research effort concerned the classification of information-processing systems with special attention to the measurement of information processing capacity. Another investigation was initiated in which it was proposed to study current flow in the central nervous system. The first phase of this study involved an investigation of the impedance of the dorsal columns of the spinal cord. The experimental method involved passing a low frequency, non-stimulating current from a small electrode on the dorsal columns in the cervical cord of the cat.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1965
Accession Number
AD0611135

Entities

People

  • W. P. Tanner Jr.

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Central Nervous System
  • Information Processing
  • Information Systems
  • Machine Learning
  • Nervous System
  • Pattern Recognition
  • Recognition
  • Spinal Cord

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Systems Analysis and Design

Technology Areas

  • AI & ML