Neural Networks for Real-Time Sensory Data Processing and Sensorimotor Control

Abstract

Our experimental work over the past six months has focused upon two distinct areas. First, we have continued our work on behavioral analysis of the turn. Second, we have completed our physiological study of the current-frequency properties of the ventral giant interneurons (vGIs) and moved on to a study of the relative temporal properties of the various vGIs as they respond to wind from various directions. Having documented the basic leg movements in the meso- and metathoracic (T2 and T3) legs that are associated with turns away from various different angles, we have moved on to questions regarding plasticity of the turning parameters. Immediately after surgery, the animal still escapes, but does not turn as well as normal animals. Yet when the animal's are retested two days later, they have altered their turning movements to compensate for the loss of T2 legs and are now capable of turning as well as normal animals.

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Document Details

Document Type
Technical Report
Publication Date
Jun 18, 1991
Accession Number
ADA238676

Entities

People

  • Randall D. Beer

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Processing
  • Ear
  • Electrical Engineering
  • Engineering
  • Frequency
  • Genetic Algorithms
  • Information Processing
  • Locomotion
  • Motor Neurons
  • Neural Networks
  • Neurons
  • Recurrent Neural Networks
  • Robots
  • Simulations
  • Three Dimensional

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks