Physics – Condensed Matter – Disordered Systems and Neural Networks
10 pages, 5 figures
We propose a stochastic dynamical model of noisy neural networks with complex architectures and discuss activation of neural networks by a stimulus, pacemakers and spontaneous activity. This model has a complex phase diagram with self-organized active neural states, hybrid phase transitions, and a rich array of behavior. We show that if spontaneous activity (noise) reaches a threshold level then global neural oscillations emerge. Stochastic resonance is a precursor of this dynamical phase transition. These oscillations are an intrinsic property of even small groups of 50 neurons.
de Abreu Fernão Vistulo
Dorogovtsev S. N.
Goltsev A. V.
Mendes Jose Fernando F.
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