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