Retrieval of spatio-temporal sequence in asynchronous neural network

Hidetoshi Nishimori, Tota Nakamura, Masatoshi Shiino

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

We develop an argument that a neural network with asynchronous updating dynamics is capable of sequential retrieval of properly embedded spatial patterns. It is not necessary that the patterns be random, but they have to satisfy certain restrictions. The network is a generalization of the Hopfield model with a specific type of asymmetric synaptic connections. No time delay is introduced in signal transmission, in contrast to some of the recently proposed networks.

Original languageEnglish
Pages (from-to)3346-3354
Number of pages9
JournalPhysical Review A
Volume41
Issue number6
DOIs
Publication statusPublished - 1990 Jan 1

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Fingerprint Dive into the research topics of 'Retrieval of spatio-temporal sequence in asynchronous neural network'. Together they form a unique fingerprint.

  • Cite this