Storing sparse messages in networks of neural cliques

IEEE Trans Neural Netw Learn Syst. 2014 May;25(5):980-9. doi: 10.1109/TNNLS.2013.2285253.

Abstract

An extension to a recently introduced binary neural network is proposed to allow the storage of sparse messages, in large numbers and with high memory efficiency. This new network is justified both in biological and informational terms. The storage and retrieval rules are detailed and illustrated by various simulation results.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computer Simulation
  • Humans
  • Information Storage and Retrieval*
  • Models, Neurological*
  • Neurons*