Non-Linear Analysis of Visual Cortical Neurons

Abstract

During the first reporting period, new equipment was purchased and set up and new software was developed in preparation for electrophysiological experiments to study the neural networks that underly the binocular non-linear filtering properties of cells in the monkey (Macaca fascicularis) visual cortex. This preparatory task was completed. In addition, new methods were developed for using input-output measurements to identify multi-input nonlinear systems. These new mathematical results have been written up and accepted for journal publication and presented at two conferences. In addition, the new system identification methods have been applied in preliminary analyses of previously obtained monocular stimulus-response data. Keywords: Binocular vision; Nonlinear system identification; Neural network.

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Document Details

Document Type
Technical Report
Publication Date
Mar 12, 1990
Accession Number
ADA221543

Entities

People

  • Daniel A. Pollen
  • James P. Gaska
  • Lowell D. Jacobson

Organizations

  • University of Massachusetts Medical School

Tags

Communities of Interest

  • Advanced Electronics
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Application Software
  • Classification
  • Computers
  • Data Acquisition
  • Data Analysis
  • Data Processing
  • Filtration
  • Identification
  • Linear Filtering
  • Macaca Fascicularis
  • Measurement
  • Neural Networks
  • Nonlinear Systems
  • Universities
  • Visual Cortex
  • White Noise

Fields of Study

  • Biology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks