Computational principles of memory

Nat Neurosci. 2016 Mar;19(3):394-403. doi: 10.1038/nn.4237.

Abstract

The ability to store and later use information is essential for a variety of adaptive behaviors, including integration, learning, generalization, prediction and inference. In this Review, we survey theoretical principles that can allow the brain to construct persistent states for memory. We identify requirements that a memory system must satisfy and analyze existing models and hypothesized biological substrates in light of these requirements. We also highlight open questions, theoretical puzzles and problems shared with computer science and information theory.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Computer Simulation
  • Humans
  • Information Theory
  • Memory / physiology*
  • Models, Neurological*