000			02542cam a22003738i 4500
001			22047359
003			OSt
005			20250704101553.0
008			210525s2022 nju b 001 0 eng
010			_a 2021024493
020			_a9781786349583 _q(hardcover)
035			_a22047359
040			_aDLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aQP360.7 _b.Z43 2022
082	0	0	_a612.8/20285 _223
100	1		_aZhang, Xiang _eauthor. _9613
245	1	0	_aDeep learning for EEG-Based Brain-Computer Interfaces : _brepresentations, algorithms and applications / _cXiang Zhang, Lina Yao
263			_a2209
264		1	_aNew Jersey : _bWorld Scientific, _c2022.
300			_axi, 281 pages
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"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"-- _cProvided by publisher.
650		0	_aBrain-computer interfaces. _9539
650		0	_aMachine learning. _9614
700	1		_aYao, Lina _eauthor. _9615
906			_a7 _brip _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2udc _cBK _h681.32.091 ZHA _k681.32.091 _mZHA
999			_c89188 _d89188