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Introduction vii
Nomenclature xx
List of Contributors xxii
1 A brief introduction to some simple stochastic processes Benjamin Lindner 1
2 Markov chain models of ion channels and calcium release sites Jeffrey R. Groff Hilary DeRemigio Gregory D. Smith 29
3 Stochastic dynamic bifurcations and excitability Nils Berglund Barbara Gentz 65
4 Neural coherence and stochastic resonance Andrè Longtin 94
5 Noisy oscillators Bard Ermentrout 124
6 The role of variability in populations of spiking neurons Brent Doiron 153
7 Population density methods in large-scale neural network modelling Daniel Tranchina 181
8 A population density model of the driven LGN/PGN Marco A. Huertas Gregory D. Smith 217
9 Synaptic 'noise': Experiments, computational consequences and methods to analyse experimental data Alain Destexhe Michelle Rudolph-Lilith 242
10 Statistical models of spike trains Liam Paninski Emery N. Brown Satish Iyengar Robert E. Kass 272
11 Stochastic simulation of neurons, axons, and action potentials A. Aldo Faisal 297
12 Numerical simulations of SDEs and SPDEs from neural systems using SDELab Hasan Alzubaidi Hagen Gilsing Tony Shardlow 344
Index 367
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Ark Verer
reviewed Stochastic Methods in Neuroscience on March 27, 2017
Stochastic Methods in Neuroscience
I was asked to review this book for Nature. I accepted the assignment because it is a book about fragile X syndrome and I have a project about this condition.
I was completely blown away - this is a phenomenal book - among the best I have ever read. Clare Dunsford is a masterful writer, but more than that - she is a truth-teller, a truth-seeker, and a revolutionary. Her ability to guide the reader through the experiences associated with having a child with fragile X is so exquisite, that even those with children with different conditions (I have two kids with pseudoxanthoma elasticum (PXE) ), will find their own story told.
I have written my review, which is suppose to appear in the July issue of Nature. I have also decided, with my colleagues, to award Clare Dunsford the Genetic Alliance Art of Advocacy Award in July, at the Genetic Alliance Annual Conference (www.geneticalliance.org).
Wow.
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Add Stochastic Methods in Neuroscience, Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are lea, Stochastic Methods in Neuroscience to the inventory that you are selling on WonderClubX
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Add Stochastic Methods in Neuroscience, Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are lea, Stochastic Methods in Neuroscience to your collection on WonderClub |
