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- W2068667659 abstract "We consider a system of N spiking neurons with random synaptic connections which take values ±1 with equal probability. The resulting system of equations has a stationary solution equal to 1 for the fraction of neurons having potential x at time t. This solution describes an asynchronous state. We study the stability of such a state in a perturbative way and find a threshold for the parameters of the model such that for values larger than this threshold the stationary asynchronous state is stable otherwise it is unstable. In other terms the stability of the asynchronous state holds only for relatively small random perturbations." @default.
- W2068667659 created "2016-06-24" @default.
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- W2068667659 date "2004-02-20" @default.
- W2068667659 modified "2023-09-27" @default.
- W2068667659 title "STABILITY OF ASYNCHRONOUS STATES OF SPIKING NEURONS" @default.
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- W2068667659 doi "https://doi.org/10.1142/s0217979204024380" @default.
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