Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Deep Learning for EEG-based Brain-Computer Interfaces is a comprehensive book that explores the use of deep learning in improving brain-computer interfaces. It covers common brain signals, deep learning models, state-of-the-art studies, applications, and challenges, and introduces novel algorithms for robust representation learning, cross-scenario classification, and semi-supervised learning. The book provides inspiration for academia and industry professionals working on BCI.

\n Format: Hardback
\n Length: 296 pages
\n Publication date: 01 October 2021
\n Publisher: World Scientific Europe Ltd
\n

Deep Learning for EEG-based Brain-Computer Interfaces is an enthralling book that delves into the transformative potential of emerging deep learning in advancing the future development of Brain-Computer Interfaces (BCI). This groundbreaking work provides a comprehensive overview of commonly-used brain signals, offering a systematic introduction to approximately 12 subcategories of deep learning models. It also presents a mind-expanding summary of over 200+ state-of-the-art studies that have embraced deep learning in various BCI areas. Furthermore, the book offers an insightful overview of numerous BCI applications, highlighting how deep learning contributes to their advancement, along with a comprehensive list of 31 publicly available BCI datasets.

In addition to this exhaustive coverage, the authors introduce a set of novel deep learning algorithms specifically designed to address current BCI challenges, including robust representation learning, cross-scenario classification, and semi-supervised learning. These innovative approaches offer promising solutions to complex BCI problems.

The book showcases a range of real-world deep learning-based BCI applications, accompanied by prototypes, demonstrating the practical applications of this technology. The work within this publication presents effective and efficient models that will serve as a source of inspiration for individuals in academia and industry who are actively engaged in BCI research and development.

Overall, Deep Learning for EEG-based Brain-Computer Interfaces is a vital resource for anyone interested in exploring the frontier of brain-computer interface technology. It offers a comprehensive and up-to-date perspective on the latest advancements, challenges, and opportunities in this field, providing valuable insights for researchers, practitioners, and enthusiasts alike.

\n Weight: 578g\n
Dimension: 158 x 468 x 25 (mm)\n
ISBN-13: 9781786349583\n \n