Parallel Processing and Learning in Simple Systems.

Abstract

To date if has been demonstrated that an experimental animal, the sea slug Pleurobranchaea, is capable of one-trial food-aversion learning, and that the muscarinic antagonist scopolamine in low doses causes an enhancement of learning. Pharmacologic binding studies using a new, 125 sub I-form of quinuclidinyl benzilate, in addition to studies using the 3 sub H-form of this ligand, have uncovered not only the classical types of muscarinic receptors that are typical of vertebrate cortex, but also a new form that is not found in other invertebrates that we have tested. Usually muscarinic receptors are found in low densities in invertebrate neural membranes, but the density of the new form in this animal's neural membranes is similar to the density of the classic receptors in mammalian cortex. Neurophysiological studies of individual neurons in small groups of identifiable neurons have shown that their activity is variable, as is the behavior that they take part in generating, and that the variability fits the definition of low-dimensional chaos. Findings show that such variability is an important feature of the emergence of adaptive responses arising from parallel, distributed neural networks in biological systems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 11, 1988
Accession Number
ADA194252

Entities

People

  • George J. Mpitsos

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Animals
  • Brain
  • Classification
  • Complex Systems
  • Computer Simulations
  • Dynamics
  • Laboratory Animals
  • Learning
  • Oceanography
  • Parallel Computing
  • Parallel Processing
  • Self Organizing Systems
  • Simulations
  • Systems Biology
  • Universities

Fields of Study

  • Biology

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Neurotoxicology

Technology Areas

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