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Kniha Deep Learning for EEG-Based Brain-Computer Interfaces Lina Yao

Deep Learning for EEG-Based Brain-Computer Interfaces

Representations, Algorithms and Applications

Autor: Lina Yao
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: World Scientific Europe Ltd
Dostupnost: Skladem u dodavatele
Odesíláme za 14-21 dnů
2 316 Kč
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emergin...

Informace o knize

Autor
Lina Yao
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2021
Stránek
340
EAN
9781786349583
ISBN
1786349582
Enbook ID
33246596
Vydavatel
World Scientific Europe Ltd
Hmotnost
578
Rozměry
468 x 158 x 25

Kompletní popis

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 data sets. 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.

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