Village Green Shopping Centre | Vernon's Premier Shopping Destination
Choice Made Simple!
Too many options?Click below to purchase an online gift card that can be used at participating retailers in Village Green Shopping Centre and continue your shopping IN CENTRE!Purchase Here
Coles Eeg Signal Classification Using Machine Learning at Village Green Shopping Centre in Vernon, BC
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
This book provides a comprehensive and detailed exploration of electroencephalography (EEG) signal classification in the context of decoding tasks in Brain-Computer Interfaces (BCI). It offers a systematic approach to understanding the role of EEG and its decoding in active, reactive, and passive BCI systems. Readers will find a careful dissection of the primary concepts behind the commonly used machine learning models and their integral connection with EEG decoding. The book further introduces the domain-specific machine learning techniques in different BCI tasks. Furthermore, a substantial emphasis is placed on the interpretation techniques and neuroscientific meaning behind the models. Following that, two significant issues in EEG decoding are discussed. Firstly, the complexity of subject variability, a critical factor in BCI efficiency, is addressed, with discussions on its causes, impacts, and mitigation strategies. Secondly, the book also covers data augmentation techniques, their importance in EEG studies, and the practical implications of their use in BCI applications. Case studies including the popular EEG paradigms are interspersed throughout to provide examples of the principles and strategies discussed.
This book provides a comprehensive and detailed exploration of electroencephalography (EEG) signal classification in the context of decoding tasks in Brain-Computer Interfaces (BCI). It offers a systematic approach to understanding the role of EEG and its decoding in active, reactive, and passive BCI systems. Readers will find a careful dissection of the primary concepts behind the commonly used machine learning models and their integral connection with EEG decoding. The book further introduces the domain-specific machine learning techniques in different BCI tasks. Furthermore, a substantial emphasis is placed on the interpretation techniques and neuroscientific meaning behind the models. Following that, two significant issues in EEG decoding are discussed. Firstly, the complexity of subject variability, a critical factor in BCI efficiency, is addressed, with discussions on its causes, impacts, and mitigation strategies. Secondly, the book also covers data augmentation techniques, their importance in EEG studies, and the practical implications of their use in BCI applications. Case studies including the popular EEG paradigms are interspersed throughout to provide examples of the principles and strategies discussed.
Find everything in-store including new, used and children’s books, music, movies, games and toys. Visit Coles today to find the perfect gift, or a novel for yourself. COVID-19 UPDATE: Open | Regular Centre Hours
