Synfire waves in small balanced networks

Yuval Aviel, David Horn, Moshe Abeles

Research output: Contribution to journalArticlepeer-review

Abstract

We study the problem of mixing rate and temporal codes in the same population at the same time. We use a balanced network, known to act well as a rate code model, and embed in it synfire chain connectivity. The propagation of a synfire wave on top of asynchronous background activity requires large networks. Here, we show that this can be achieved also in small networks provided one adds inhibitory (shadow) pools to the excitatory ones. Correct adjustment of these pools is required to allow for synfire wave propagation.

Original languageEnglish
Pages (from-to)123-127
Number of pages5
JournalNeurocomputing
Volume58-60
DOIs
StatePublished - Jun 2004

Keywords

  • Balanced network
  • Capacity
  • Integrate-and-fire neurons
  • Synfire chains
  • Waves

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