Fully asynchronous neural paradigm

In this paper, a new integrate-and-fire neural model is proposed. In order to obtain an asynchronous behaviour, a different delay time is assigned to every firing process, in function of the inner dynamics of the single neuron. This model allows also an efficient computer simulation, which has been implemented with MATLAB and supports up to a hundred of thousands of neurons. Simulations show an auto-confinement property: when proper input is given, we observe a specific neural group selection in which the activity appears in a quite high level, while it remains lower in the regions among different groups. When the considered input is terminated, activity seems to remain stable, acting as a memory of some past input event.