N C ] 1 J ul 2 01 3 Analysis of the stabilized supralinear network ‡

We study a rate-model neural network composed of excitatory and inhibitory neurons in which neuronal input-output functions are power laws with a power greater than 1, as observed in primary visual cortex. This supralinear inputoutput function leads to supralinear summation of network responses to multiple inputs for weak inputs. We show that for stronger… (More)