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arXiv · 2002.00448

Stability of synchronous states in sparse neuronal networks

Afifurrahman·Ekkehard Ullner·Antonio Politi
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Abstract

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 crucially on the relative pulse-width. This has implications for the overall property of the asynchronous (balanced) regime.

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Afifurrahman, Ekkehard Ullner, Antonio Politi. 2020-02-02. Stability of synchronous states in sparse neuronal networks. https://arxiv.org/abs/2002.00448

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