Neural computation with spiking neural networks composed of synfire rings

Abstract

We show that any finite state automaton can be simulated by some neural network of Izhikevich spiking neurons composed of interconnected synfire rings. The construction turns out to be robust to the introduction of two kinds of synaptic noises. These considerations show that a biological paradigm of neural computation based on sustained activities of cell assemblies is indeed possible.