Neuronal Noise: 8 (Springer Series in Computational by Alain Destexhe,Michelle Rudolph-Lilith

By Alain Destexhe,Michelle Rudolph-Lilith

Neuronal Noise combines experimental, theoretical and computational effects to teach how noise is inherent to neuronal task, and the way noise might be vital for neuronal computations.  The e-book covers many features of noise in neurons, with an emphasis at the biggest resource of noise: synaptic noise. It presents scholars and younger researchers with an outline of the real equipment and ideas that experience emerged from learn during this quarter. It additionally presents the professional with a precis of the massive physique of occasionally contrasting experimental facts, and various theories proposed to discover the computational strength that a number of varieties of "noise" can confer to neurons.

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