Advanced State Space Methods for Neural and Clinical Data

Nonfiction, Science & Nature, Technology, Engineering, Health & Well Being, Medical, Science
Cover of the book Advanced State Space Methods for Neural and Clinical Data by , Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781316349212
Publisher: Cambridge University Press Publication: October 15, 2015
Imprint: Cambridge University Press Language: English
Author:
ISBN: 9781316349212
Publisher: Cambridge University Press
Publication: October 15, 2015
Imprint: Cambridge University Press
Language: English

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

More books from Cambridge University Press

Cover of the book Dinosaurs by
Cover of the book Bilingualism in the Spanish-Speaking World by
Cover of the book Worker Absenteeism and Sick Pay by
Cover of the book Indian English and the Fiction of National Literature by
Cover of the book Self-Governance in Science by
Cover of the book Terence: Hecyra by
Cover of the book Justice and Reciprocity in Aristotle's Political Philosophy by
Cover of the book Atlas of Emergency Ultrasound by
Cover of the book Writing in the Environmental Sciences by
Cover of the book Governing Climate Change by
Cover of the book Research and Theory on Workplace Aggression by
Cover of the book Money and Banks in the American Political System by
Cover of the book The Humanist World of Renaissance Florence by
Cover of the book No Future by
Cover of the book Perturbation Methods by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy