What a memory looks like in the brain? towards the modeling and simulation of a partial software neocortex for learning

  • Authors:
  • Thang N. Nguyen

  • Affiliations:
  • Department of Information Systems, California State University Long Beach, Long Beach, California

  • Venue:
  • ACMOS'08 Proceedings of the 10th WSEAS International Conference on Automatic Control, Modelling & Simulation
  • Year:
  • 2008

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Abstract

This paper addresses the basic question "What a memory looks like in the brain?" It is with the hope that if a possible answer can be framed and hypothesized, a suitable description of a memory will give insights into the modeling and simulation of a partial software neocortex model for potential learning. The paper discusses prior findings and hypotheses on memory by researchers at three levels of abstraction: cellular (middle), network (higher) and molecular (lower) levels. The paper attempts to combine them, together with the author's own hypothesis on what a memory looks like, to suggest an integrated view of memory. The paper then suggests an approach towards a software memory model based on an (arguably) observable parallelism between (1) the natural hierarchy and (2) the software hierarchy, ultimately to be simulated for potential learning as does a human newborn. It is realized that there are questionable items in this initial formulation, which are subject to future investigation.