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Hidden Markov models for complex stochastic processes: A case study in electrophysiology.

Mengersen, Kerrie; Rousseau, Judith; Silburn, Peter; Johnson, Helen; White, Nicole M. (2012), Hidden Markov models for complex stochastic processes: A case study in electrophysiology., in Pettitt, Anthony N.; Mengersen, Kerrie L.; Alston, Clair L., Case Studies in Bayesian Statistical Modelling and Analysis, Wiley, p. 310-329

Type
Chapitre d'ouvrage
External document link
http://hal.archives-ouvertes.fr/hal-00767472
Date
2012
Book title
Case Studies in Bayesian Statistical Modelling and Analysis
Book author
Pettitt, Anthony N.; Mengersen, Kerrie L.; Alston, Clair L.
Publisher
Wiley
ISBN
978-1-119-94182-8
Number of pages
598
Pages
310-329
Metadata
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Author(s)
Mengersen, Kerrie
Rousseau, Judith
Silburn, Peter
Johnson, Helen
White, Nicole M.
Abstract (EN)
HMM models for complex stochastics in electrophysiology; human physiology complexities, a challenging field; AP action in intracellular of the human body; spike and extracellular in deep brain stimulation; APs, as 'spikes', amplitude greater than background noise; HMMs, for AP detection in extracellular recordings; multiple neurons, and factorial HMM application; HMM estimation, on latent sequence/s and their parameters; forward-backward algorithm success in speech processing; HMM flexibility in modelling, and the cost prohibitive factor
Subjects / Keywords
Hidden Markov Models; Electrophysiology