Interacting Brain Modules for Memory: An Adaptive Representations Architecture

Abstract

An innovative and novel biologically-based computational model of interacting brain modules for memory, using the adaptive representations architecture of Gluck & Myers (1993; see also, 2001, Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus and Learning, MIT Press) has been developed. The approach began with a connectionist-level architecture for the hippocampal region (medial temporal lobe) as a central system for creating optimal and adaptive stimulus representations, and then worked outwards from the hippocampal region to the brain systems that it modulates, including the cerebellum, cerebral cortex, basal ganglia, as well as other structures which, themselves, reciprocally modulate the hippocampus (ventral tegmental area/VTA, medial septum of the basal forebrain). Ultimately, this defined a novel biologically-inspired and constrained architecture for the neural substrates of a broad range of learning and memory behaviors and capabilities.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA483802

Entities

People

  • Mark A. Gluck

Organizations

  • Rutgers University–Newark

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Brain
  • Cerebral Cortex
  • Cognition
  • Cognitive Science
  • Human Behavior
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Neurons
  • Neurosciences
  • Psychology

Fields of Study

  • Biology
  • Psychology

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.
  • Neuroscience

Technology Areas

  • AI & ML