From synapse to network: models of information storage and retrieval in neural circuits.

Journal Article (Journal Article;Review)

The mechanisms of information storage and retrieval in brain circuits are still the subject of debate. It is widely believed that information is stored at least in part through changes in synaptic connectivity in networks that encode this information and that these changes lead in turn to modifications of network dynamics, such that the stored information can be retrieved at a later time. Here, we review recent progress in deriving synaptic plasticity rules from experimental data and in understanding how plasticity rules affect the dynamics of recurrent networks. We show that the dynamics generated by such networks exhibit a large degree of diversity, depending on parameters, similar to experimental observations in vivo during delayed response tasks.

Full Text

Duke Authors

Cited Authors

  • Aljadeff, J; Gillett, M; Pereira Obilinovic, U; Brunel, N

Published Date

  • October 2021

Published In

Volume / Issue

  • 70 /

Start / End Page

  • 24 - 33

PubMed ID

  • 34175521

Pubmed Central ID

  • PMC8688181

Electronic International Standard Serial Number (EISSN)

  • 1873-6882

Digital Object Identifier (DOI)

  • 10.1016/j.conb.2021.05.005


  • eng

Conference Location

  • England