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[资源] Oxford2010Stochastic Methods in Neuroscience

CONTENTS
Introduction vii
Nomenclature xx
List of Contributors xxii
1 A brief introduction to some simple stochastic
processes 1
Benjamin Lindner
2 Markov chain models of ion channels and calcium release sites 29
Jeffrey R. Groff, Hilary DeRemigio, and Gregory D. Smith
3 Stochastic dynamic bifurcations and excitability 65
Nils Berglund and Barbara Gentz
4 Neural coherence and stochastic resonance 94
Andr′e Longtin
5 Noisy oscillators 124
Bard Ermentrout
6 The role of variability in populations
of spiking neurons 153
Brent Doiron
7 Population density methods in large-scale neural network modelling 181
Daniel Tranchina
8 A population density model of the driven LGN/PGN 217
Marco A. Huertas and Gregory D. Smith
9 Synaptic ‘noise’: Experiments, computational consequences and
methods to analyse experimental data 242
Alain Destexhe and Michelle Rudolph-Lilith
10 Statistical models of spike trains 272
Liam Paninski, Emery N. Brown, Satish Iyengar, and
Robert E. Kass
11 Stochastic simulation of neurons, axons, and action potentials 297
A. Aldo Faisal
vi Contents
12 Numerical simulations of SDEs and SPDEs from neural systems
using SDELab 344
Hasan Alzubaidi, Hagen Gilsing, and Tony Shardlow
Index

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附件 1 : Stochastic_Methods_in_Neuroscience_-_Carlo_Laing,_Gabriel_J._Lord_-_(_Oxford_University_Press_-_2010_-_pp.399).pdf

2015-03-05 10:36:45, 17.29 M