£55.57

World Scientific Publishing Company Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

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£56.86 £49.61 £51.19 £52.77 £54.36 £55.94 £57.52 25 January 2026 04 February 2026 15 February 2026 25 February 2026 08 March 2026

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Price range: £50 - £57

Price levels: 6 different prices over 43 days

Description

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.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
14 September 2021
Listed Since
10 September 2020

Barcode

No barcode data available

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