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Brain-Computer Interfaces

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Cover of 'Brain-Computer Interfaces'

Table of Contents

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    Book Overview
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    Chapter 1 Brain–Computer Interfaces: A Gentle Introduction
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    Chapter 2 Brain Signals for Brain–Computer Interfaces
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    Chapter 3 Dynamics of Sensorimotor Oscillations in a Motor Task
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    Chapter 4 Neurofeedback Training for BCI Control
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    Chapter 5 The Graz Brain-Computer Interface
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    Chapter 6 BCIs in the Laboratory and at Home: The Wadsworth Research Program
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    Chapter 7 Detecting Mental States by Machine Learning Techniques: The Berlin Brain–Computer Interface
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    Chapter 8 Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms
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    Chapter 9 Brain–Computer Interface in Neurorehabilitation
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    Chapter 10 Non Invasive BCIs for Neuroprostheses Control of the Paralysed Hand
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    Chapter 11 Brain–Computer Interfaces for Communication and Control in Locked-in Patients
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    Chapter 12 Intracortical BCIs: A Brief History of Neural Timing
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    Chapter 13 BCIs Based on Signals from Between the Brain and Skull
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    Chapter 14 A Simple, Spectral-Change Based, Electrocorticographic Brain–Computer Interface
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    Chapter 15 Using BCI2000 in BCI Research
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    Chapter 16 The First Commercial Brain–Computer Interface Environment
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    Chapter 17 Digital Signal Processing and Machine Learning
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    Chapter 18 Adaptive Methods in BCI Research - An Introductory Tutorial
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    Chapter 19 Toward Ubiquitous BCIs
Attention for Chapter 19: Toward Ubiquitous BCIs
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Citations

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17 Mendeley
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Chapter title
Toward Ubiquitous BCIs
Chapter number 19
Book title
Brain-Computer Interfaces
Published in
ADS, January 2009
DOI 10.1007/978-3-642-02091-9_19
Book ISBNs
978-3-64-202090-2, 978-3-64-202091-9
Authors

Brendan Z. Allison

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 6%
China 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 4 24%
Student > Postgraduate 2 12%
Student > Bachelor 1 6%
Librarian 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 3 18%
Engineering 3 18%
Neuroscience 3 18%
Medicine and Dentistry 2 12%
Psychology 2 12%
Other 2 12%
Unknown 2 12%