Neural network dynamics

Tim P. Vogels, Kanaka Rajan, L. F. Abbott

Research output: Contribution to journalReview articlepeer-review

335 Scopus citations

Abstract

Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory network activity; and (c) chaotic activity, which models complex patterns of background spiking in cortical and other circuits. We also review propagation of stimulus-driven activity through spontaneously active networks. Exploring these aspects of neural network dynamics is critical for understanding how neural circuits produce cognitive function.

Original languageEnglish
Pages (from-to)357-376
Number of pages20
JournalAnnual Review of Neuroscience
Volume28
DOIs
StatePublished - 2005
Externally publishedYes

Keywords

  • Balance
  • Memory
  • Signal propagation
  • States
  • Sustained activity

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