Firing response of a neural model with threshold modulation and neural dynamics
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The attractors of the dynamics of a neural network are usually determined by the learned patterns via a Hebb‐like learning rule or one of its modifications. Here we explore the possibility of constructing ‘innate’ attractors by a simple mechanism of threshold modulation in a model of neuronal firing.