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Stability of synchronous states in sparse neuronal networks
[article]
2020
arXiv
pre-print
Preserved Fulltext
The stability of synchronous states is analysed in the context of two populations of inhibitory and excitatory neurons, characterized by different pulse-widths. The problem is reduced to that of determining the eigenvalues of a suitable class of sparse random matrices, randomness being a consequence of the network structure. A detailed analysis, which includes also the study of finite-amplitude perturbations, is performed in the limit of narrow pulses, finding that the stability depends
arXiv:2002.00448v1
fatcat:52dverykwbeuhnh6rcbi2vdwoq