NEURONS' ARRAYS AS NOISE-ADDRESSABLE MEMORY AND NOISE-CONTROLLED MULTI-STATES SWITCHES

We discuss new aspects of the collective behavior of coupled neurons receiving noise as input, and in particular new cooperative effects between noise and an ensemble of integrate-and-fire neurons with feedback coupling. Applications of these effects as noise -addressable memory arrays and noise-controlled multi-states arrays are demonstrated. In a noise addressable neurons' array, the memory content is recalled by giving to each neuron an input signal corresponding to an independent Wiener process. The output of a multi-states arrays is determined by the noise level. Noise-induced, percolation-like ordering corresponding to the creation of long -range correlation is observed in two-dimensional arrays. This effect is exploited to create memory arrays that respond coherently only if the right amount of noise is furnished to the system.

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