Deep learning for EEG-based brain-computer interfaces: (Record no. 4502)

MARC details
000 -LEADER
fixed length control field 02519nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230120130907.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230120b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781786349583
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 612.820285
Item number ZHA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhang, Xiang
245 ## - TITLE STATEMENT
Title Deep learning for EEG-based brain-computer interfaces:
Remainder of title representations, algorithms and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. World Scientific Publishing Company Pvt. Ltd.
Place of publication, distribution, etc. New Jersey
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xi, 281 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 98.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Contents:<br/>Preface<br/>Background:<br/>Introduction<br/>Brain Signal Acquisition<br/>Deep Learning Foundations<br/>Deep Learning-Based BCI and Its Applications:<br/>Deep Learning-Based BCI<br/>Deep Learning-Based BCI Applications<br/>Recent Advances on Deep Learning for EEG-Based BCI:<br/>Robust Brain Signal Representation Learning<br/>Cross-Scenario Classification<br/>Semi-Supervised Classification<br/>Typical Deep Learning for EEG-Based BCI Applications:<br/>Authentication<br/>Visual Reconstruction<br/>Language Interpretation<br/>Intent Recognition in Assisted Living<br/>Patient-Independent Neurological Disorder Detection<br/>Future Directions and Conclusion<br/>Bibliography<br/>Index
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Brain-computer interfaces
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Yao, Lina
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences 586/22-23 06-01-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/20/2023 T V Enterprises 5483.42   612.820285 ZHA 004274 01/20/2023 1 8339.80 01/20/2023 Book

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