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Emergence of Synchronous Oscillations in Neural Networks Excited by Noise

M. -P. Zorzano·L. Vazquez
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Abstract

The presence of noise in non linear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the impulse transmission in neurons and the synchronization of a neural network. Integrating numerically the Fokker-Planck equation we show a self-induced synchronized oscillation. Such an oscillatory state appears in a neural network coupled with a feedback term, when this system is excited by noise and the noise strength is within a certain range.

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M. -P. Zorzano, L. Vazquez. 2005-07-07. Emergence of Synchronous Oscillations in Neural Networks Excited by Noise. https://doi.org/10.1016/s0167-2789(03)00007-1

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