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arXiv · 1709.06958

Stimulus sensitivity of a spiking neural network model

Julien Chevallier
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Abstract

Some recent papers relate the criticality of complex systems to their maximal capacity of information processing. In the present paper, we consider high dimensional point processes, known as age-dependent Hawkes processes, which have been used to model spiking neural networks. Using mean-field approximation, the response of the network to a stimulus is computed and we provide a notion of stimulus sensitivity. It appears that the maximal sensitivity is achieved in the sub-critical regime, yet almost critical for a range of biologically relevant parameters.

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Julien Chevallier. 2017-09-19. Stimulus sensitivity of a spiking neural network model. https://doi.org/10.1007/s10955-017-1948-y

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