| Description |
1 online resource (xxiii, 370 pages, 4 pages of plates) : illustrations (some color) |
| Contents |
A brief introduction to some simple stochastic processes / Benjamin Lindner -- Markov chain models of ion channels and calcium release sites / Jeffrey R. Groff, Hilary DeRemigio and Gregory D. Smith -- Stochastic dynamic bifurcations and excitability / Nils Berglund and Barbara Gentz -- Neural coherence and stochastic resonance / André Longtin -- Noisy oscillators / Bard Ermentrout -- The role of variability in populations of spiking neurons / Brent Doiron -- Population density methods in large-scale neural network modelling / Daniel Tranchina -- A population density model of the driven LGN/PGN / Marco A. Huertas and Gregory D. Smith -- Synaptic 'noise' : experiments, computational consequences and methods to an alyse experimental data / Alain Destexhe and Michelle Rudolph-Lilith -- Statistical models of spike trains / Liam Paninski, Emery N. Brown, Satish Iyengar and Robert E. Kass -- Stochastic simulation of neurons, axons, and action potentials / A. Aldo Faisal -- Numerical simulations of SDEs and SPDEs from neural systems using SDELab / Hasan Alzubaidi, Hagen Gilsing and Tony Shardlow |
| Summary |
This text concentrates on the intersection between stochastic dynamics and neuroscience, presenting a series of self-contained chapters on major aspects of noise and neuroscience, each written by an expert in their particular field |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Computational neuroscience.
|
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Neurosciences -- Mathematics
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Stochastic processes.
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Stochastic Processes
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MEDICAL -- Neuroscience.
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PSYCHOLOGY -- Neuropsychology.
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Computational neuroscience
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Neurosciences -- Mathematics
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Stochastic processes
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| Form |
Electronic book
|
| Author |
Laing, Carlo, editor
|
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Lord, Gabriel J., editor
|
| ISBN |
0199235074 |
|
9780199235070 |
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9780191553011 |
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0191553018 |
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9780191715778 |
|
0191715778 |
|
