Cross-correlations in sparsely connected recurrent networks of spiking neurons

Published

Conference Paper

© Springer-Verlag Berlin Heidelberg 1997. We study the dynamics of sparsely connected recurrent networks composed of excitatory and inhibitory integrate-and-fire (IF) neurons firing at low rates, and in particular cross-correlations (CC) between spike times of pairs of neurons using both numerical simulations and a recent theory. CCs exhibit damped oscillations with a frequency which depends on synaptic time constants. Individual CCs are shown to depend weakly on synaptic connectivity. They depend more strongly on the firing rates of individual neurons.

Duke Authors

Cited Authors

  • Brunel, N

Published Date

  • January 1, 1997

Published In

Volume / Issue

  • 1327 /

Start / End Page

  • 31 - 36

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

International Standard Book Number 10 (ISBN-10)

  • 3540636315

International Standard Book Number 13 (ISBN-13)

  • 9783540636311

Citation Source

  • Scopus