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

M. White, Nicole (1, 2) , Helen Johnson (3) , Peter Silburn (4) , Judith Rousseau (5, 6) , Kerrie Mengersen (1)

1 QUT - Queensland University of Technology [Brisbane]
2 St. Andrew's War Memorial Hospital and Medical Institute
3 school of mathematical sciences
4 St. Andrew's War Memorial Hospital and Medical Institute
5 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision
6 CREST - Centre de Recherche en Économie et Statistique

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

Domaines: Statistiques [math.ST]; Théorie [stat.TH]

M. White, Nicole, Helen Johnson, Peter Silburn, Judith Rousseau, Kerrie Mengersen. Hidden Markov models for complex stochastic processes: A case study in electrophysiology.. Case Studies in Bayesian Statistical Modelling and Analysis, wiley, pp.310-329, 2012, ⟨10.1002/9781118394472.ch18⟩. ⟨hal-00767472⟩