Deep Learning for EEG-Based Brain-Computer Interfaces
Language: English
Published by World Scientific Europe Ltd, GB, 2021
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 125.54
Quantity: Over 20 available
Add to basketItem description from seller
Deep Learning for EEG-based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms, and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI datasets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.…
Seller Inventory # LU-9781786349583
- Title
- Deep Learning for EEG-Based Brain-Computer Interfaces
- Author
- Xiang Zhang, Lina Yao
- Publisher
- World Scientific Europe Ltd, GB
- Publication year
- 2021
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1786349582
- ISBN 13
- 9781786349583
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Rarewaves.com USA
London, London, United Kingdom
AbeBooks seller since June 11, 2025
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