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Springer Neuronal Noise: 8 - Springer Computational Neuroscience Series

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Description

Neuronal Noise: 8 examines how noise functions within neuronal systems, with particular focus on synaptic noise as the primary source. This Springer publication combines experimental, theoretical and computational results to demonstrate that noise is inherent to neuronal activity and plays an important role in neuronal computations. The book provides comprehensive coverage of noise across multiple neuronal aspects, making it suitable for students and researchers seeking to understand how stochastic processes influence neural function and computation.

Key Features

Part of the Springer Series in Computational Neuroscience, offering peer-reviewed scientific content on neural noise mechanisms.

Combines experimental, theoretical and computational approaches to explain synaptic noise and its effects on neuronal activity.

Emphasises synaptic noise as the largest source of noise in neurons and its importance for neural computation.

Designed for students and researchers studying neuroscience, providing foundational and advanced knowledge of neuronal noise phenomena.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
23 February 2014
Listed Since
13 February 2014

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