Neuronal Noise combines experimental, theoretical and computational
results to show how noise is inherent to neuronal activity, and how
noise can be important for neuronal computations. The book covers
many aspects of noise in neurons, with an emphasis on the largest
source of noise: synaptic noise. It provides students and young
researchers with an overview of the important methods and concepts
that have emerged from research in this area. It also provides the
specialist with a summary of the large body of sometimes
contrasting experimental data, and different theories proposed to
explore the computational power that various forms of "noise" can
confer to neurons.
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