Modeling memory: what do we learn from attractor neural networks?

Conference Paper

In this paper we summarize some of the main contributions of models of recurrent neural networks with associative memory properties. We compare the behavior of these attractor neural networks with empirical data from both physiology and psychology. This type of network could be used in models with more complex functions.

Full Text

Duke Authors

Cited Authors

  • Brunel, N; Nadal, JP

Published Date

  • January 1, 1998

Published In

Volume / Issue

  • 321 / 2-3

Start / End Page

  • 249 - 252

PubMed ID

  • 9759349

International Standard Serial Number (ISSN)

  • 0764-4469

Digital Object Identifier (DOI)

  • 10.1016/s0764-4469(97)89830-7

Conference Location

  • France