Single Neuron Computation

Single Neuron Computation

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This book contains 22 original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems- level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs. The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.
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Product details

  • Hardback | 257 pages
  • 160 x 232 x 34mm | 1,102.24g
  • Academic Press Inc
  • San Diego, United States
  • English
  • index
  • 012484815X
  • 9780124848153

Table of contents

Computation in dendrites and spines; electronic models of neuronal dendrites and single neuron computation, W. Holmes and W. Rall; canonical neurons and their computational organization, G. Shepherd; computational models of hioopcampal neurons, B. Claiborne, et al; hebbian computations in hippocampal dendrites and spines, T. Brown, et al; synaptic integration by electro-diffusion in dendritic spines, T. Sejnowski and N. Qian; dendritic morphology, inward rectification and the functional properties of neostriatal neurons, C. Wilson; analog and digital processing in single nerve cells - dendritic integration and axonal propagation, I. Segev, et al; ion channels, synapses and patterned discharge; ionic currents governing input-output relations of betz cells, P. Schwindt; synchronized multiple bursts in the hippocampus - a neuronal population oscillation uninterpretable without accurate cellular membrane kinetics, R. Traub and R. Miles; physiological models with temporal integration of synaptic inputs, P. Anton, et al;multiplying with synapses and neurons, C. Koch and T. Poggio; a model of the direction selectivity in vertebrate reetina - transformations by neurons singly and in concert, L. Borg-Graham and N. Grzywacz; exploring cortical microcircuits - a combined anatomical, physiological and computational approach, R. Douglas and K. Martin; evolving analog VLSI neurons, M. Mahowald; functions of synapses on very distal dendrites - layer 1 inputs to layer 5 pyramidal cells in neocortex, L. Cauller and B. Connors; relations between the dynamical properties of single cells and their networks in piriform (olfactory) cortex; multistate neurons and stochastic models of neuron dynamics; determination of state dependent processing in thalamus by single neuron properties and neuromodulators, D. McCormick, et al; single processing in multi-threshold neurons, D. Tam; critical coherence and characteristic times in brain stem neuronal discharge patterns, K. Selz and A. Mandell; stochastic neuron models, C. Smith; fractal neuronal firing patterns, M. Teich; co-operative stochastic effects in a model of a single neuron, A. Bulsara, et al.
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