Books: Toward Brain-Computer Interfacing

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	Sep 2007
	ISBN 0262042444
	512 pp.
	150 illus.

Toward Brain-Computer Interfacing

Guido Dornhege , Jose del R. Millan , Thilo Hinterberger , Dennis J. McFarland and Klaus-Robert Mueller

Interest in developing an effective communication interface connecting the human brain and a computer has grown rapidly over the past decade. The brain-computer interface (BCI) would allow humans to operate computers, wheelchairs, prostheses, and other devices, using brain signals only. BCI research may someday provide a communication channel for patients with severe physical disabilities but intact cognitive functions, a working tool in computational neuroscience that contributes to a better understanding of the brain, and a novel independent interface for human-machine communication that offers new options for monitoring and control. This volume presents a timely overview of the latest BCI research, with contributions from many of the important research groups in the field.

Table of Contents

		Contents
		Foreward
		Preface
1		An Introduction to Brain-Computer Interfacing
I		BCI Systems and Approaches
2		Noninvasive Brain-Computer Interface Research at the Wadsworth Center
3		Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach
4		Graz-Brain-Computer Interface: State of Research
5		The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States
6		The IDIAP Brain-Computer Interface: An Asynchronous Multiclass Approach
7		Brain Interface Design for Asynchronous Control
II		Invasive BCI Approaches
8		Electrocorticogram as a Brain-Computer Interface Signal Source
9		Probabilistically Modeling and Decoding Neural Population Activity in Motor Cortex
10		The Importance of Online Error Correction and Feed-Forward Adjustments in Brain-Machine Interfaces for Restoration of Movement
11		Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective
12		A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
III		BCI Techniques
13		General Signal Processing and Machine Learning Tools for BCI Analysis
14		Classifying Event-Related Desynchronization in EEG, ECoG, and MEG Signals
15		Classification of Time-Embedded EEG Using Short-Time Principal Component Analysis
16		Noninvasive Estimates of Local Field Potentials for Brain-Computer Interfaces
17		Error-Related EEG Potentials in Brain-Computer Interfaces
18		Adaptation in Brain-Computer Interfaces
19		Evaluation Criteria for BCI Research
IV		BCI Software
20		BioSig: An Open-Source Software Library for BCI Research
21		BCI2000: A General-Purpose Software Platform for BCI
V		Applications
22		Brain-Computer Interfaces for Communication and Motor Control--Perspectives on Clinical Applications
23		Combining BCI and Virtual Reality: Scouting Virtual Worlds
24		Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection
25		Single-Trial Analysis of EEG during Rapid Visual Discrimination: Enabling Cortically Coupled Computer Vision
		References
		Contributors
		Index

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