Evolving Probabilistic Spiking Neural Networks : Modelling and Pattern Recognition of Spatio-temporal Brain Data (EEG)

Language: English

Published by LAP LAMBERT Academic Publishing, 2013

3659430803 / 9783659430800

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The use of Electroencephalography (EEG) in Brain Computer Interface (BCI) domain presents a challenging problem due to presence of spatial and temporal aspects inherent in the EEG data. Many studies either transform the data into a temporal or spatial problem for analysis. This approach results in loss of significant information since these methods fail to consider the correlation present within the spatial and temporal aspect of the EEG data. However, Spiking Neural Network (SNN) naturally takes into consideration the correlation present within the spatio-temporal data. Hence by applying the proposed SNN based novel methods on EEG, the thesis provide improved analytic on EEG data. This book introduces novel methods and architectures for spatio-temporal data modelling and classification using SNN. More specifically, SNN is used for analysis and classification of spatiotemporal EEG data.

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Title
Evolving Probabilistic Spiking Neural Networks : Modelling and Pattern Recognition of Spatio-temporal Brain Data (EEG)
Author
Nuttapod Nuntalid
Publisher
LAP LAMBERT Academic Publishing
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659430803
ISBN 13
9783659430800
Item weight
399 grams
Dimensions
220x150x16 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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