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 may be very important for neuronal computations. The publication covers many features of noise in neurons, with an emphasis at the greatest resource of noise: synaptic noise. It offers scholars and younger researchers with an summary of the $64000 tools and ideas that experience emerged from study during this sector. It additionally offers the expert with a precis of the massive physique of occasionally contrasting experimental info, and assorted theories proposed to discover the computational energy that numerous types of "noise" can confer to neurons.
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