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

Nuntalid, Nuttapod

Brossura

ISBN 10: 3659430803 ISBN 13: 9783659430800

Casa editrice: LAP LAMBERT Academic Publishing, 2013

Riassunto

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.

Su questo libro

L'autore

Nuttapod graduated a M.Sc. in Computer Science from King Mongkut’s Institute of Technology,Thailand with outstanding thesis award. He completed a PhD in Computer and Information Science from Auckland University of Technology, New Zealand under the supervision of Prof. Nikola Kasabov and Assoc. Prof. Petia Georgieva.

Dettagli dell?edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2013
• ISBN 10: 3659430803
• ISBN 13: 9783659430800
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 256