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Cross-correlations in sparsely connected recurrent networks of spiking neurons

Publication ,  Conference
Brunel, N
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 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 Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1997

Volume

1327

Start / End Page

31 / 36

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Brunel, N. (1997). Cross-correlations in sparsely connected recurrent networks of spiking neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1327, pp. 31–36). https://doi.org/10.1007/bfb0020128
Brunel, N. “Cross-correlations in sparsely connected recurrent networks of spiking neurons.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1327:31–36, 1997. https://doi.org/10.1007/bfb0020128.
Brunel N. Cross-correlations in sparsely connected recurrent networks of spiking neurons. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1997. p. 31–6.
Brunel, N. “Cross-correlations in sparsely connected recurrent networks of spiking neurons.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1327, 1997, pp. 31–36. Scopus, doi:10.1007/bfb0020128.
Brunel N. Cross-correlations in sparsely connected recurrent networks of spiking neurons. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1997. p. 31–36.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1997

Volume

1327

Start / End Page

31 / 36

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences