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arXiv · 1006.3511

Collective behavior of heterogeneous neural networks

Stefano Luccioli·Antonio Politi
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Abstract

We investigate a network of integrate-and-fire neurons characterized by a distribution of spiking frequencies. Upon increasing the coupling strength, the model exhibits a transition from an asynchronous regime to a nontrivial collective behavior. At variance with the Kuramoto model, (i) the macroscopic dynamics is irregular even in the thermodynamic limit, and (ii) the microscopic (single-neuron) evolution is linearly stable.

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Stefano Luccioli, Antonio Politi. 2010-06-17. Collective behavior of heterogeneous neural networks. https://doi.org/10.1103/physrevlett.105.158104

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