WEAKLY NONLINEAR RESPONSE OF NOISY NEURONS

Weakly nonlinear response of noisy neurons

We calculate the instantaneous firing rate of a stochastic integrate-and-fire neuron driven by an arbitrary time-dependent signal up to second order in the signal amplitude.For cosine signals, this weakly nonlinear theory reveals: (i) a frequency-dependent change of the time-averaged firing rate reminiscent of frequency locking in deterministic osc

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