This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
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This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individu…
This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individu…
This volume collects together peer reviewed versions of most of the papers presented at the Ninth Neural Computation and Psychology Workshop (NCPW9), held in 2004 at the University of Plymouth (England). The conference invited submissions on neural computation models of all cogn…
It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This book examines neuronal variability from theoretical, experimental and clinical perspectives.--[Source inconnue].
It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This book examines neuronal variability from theoretical, experimental and clinical perspectives.
It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This variability has in the past often been regarded as "noise." At the single neuron level, interspike interval (ISI) histograms constructed during either…