A Model for Generalization and Specification by Single Neurons.

Abstract

A rule for environmentally dependent modification of the neuronal state is examined. Under the rule, the neuron selects a trigger feature that matches either a particular pattern in the stimulus set, or the most common pattern component, depending on a certain parameter. Thus a neuron may evolve to respond to its stimulus environment in one of two capacities, namely specification or generalization. Neurons of the former variety are labelled S-cells; and those of the latter, G-cells. In the model, synaptic modification is modulated by two postsynaptic mechanisms, which act antagonistically to strengthen or weaken the synaptic connectivities. The functional dependence of these mechanisms on the postsynaptic activity is shown to determine whether the neuron acts as an S-cell or a G-cell. A circuit is proposed for a module that consists of a G-cell and several S-cells sharing a common set of inputs. By inhibiting the G-cells, the S-cell acts as a contrast-enhancing element, increasing their specificities for individual patterns in the stimulus set. The output from the module is a recorded representation of the environment with respect to its general and distinctive features.

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Document Details

Document Type
Technical Report
Publication Date
Feb 08, 1985
Accession Number
ADA150871

Entities

People

  • P. Munro

Organizations

  • Brown University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Brain
  • Cells
  • Cerebral Cortex
  • Cognition
  • Cognitive Science
  • Contrast
  • Equations
  • Learning
  • Neurons
  • Probability
  • Psychology
  • Rhode Island
  • Simulations
  • Specifications
  • United States
  • Universities
  • Visual Cortex

Fields of Study

  • Biology

Readers

  • Graph Algorithms and Convex Optimization.
  • Neuroscience