Open access peer-reviewed Edited Volume

Evolving BCI Therapy

Engaging Brain State Dynamics

Edited by Denis Larrivee

University of Navarra

As a strategic response to cognitive and CNS impairments, BCI is a theoretical outgrowth of several generations of endogenous devices for peripheral nerves, which have as a prime goal the direct replacement of lost neural function. In these earlier applications therapeutic intervention has been premised only on the restoration of signal generating capacity where nerve transmission is largely unidirectional and temporally sequenced. It is increasingly apparent, however, that the brain not only employs a very different type of syntax from that of peripheral nerves but also structures the semantic content of motor activity, fundamentally altering the conception of BCI as a therapeutic medium. The book presented here documents this change, proposing a multi-faceted strategy in which BCI therapy can restore the loss of multi-tiered, brain based motor function.

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Evolving BCI TherapyEngaging Brain State DynamicsEdited by Denis Larrivee

Published: October 17th 2018

DOI: 10.5772/intechopen.71592

ISBN: 978-1-78984-070-4

Print ISBN: 978-1-78984-069-8

Copyright year: 2018

Books open for chapter submissions

830 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Multilevel Representational Content in BCI Therapy - Extending Syntactic and Semantic Architectures

By Denis Larrivee

61

Open access peer-reviewed

2. A Motor-Imagery BCI System Based on Deep Learning Networks and Its Applications

By Jzau-Sheng Lin and Ray Shihb

135

Open access peer-reviewed

3. Rotation Invariant on Harris Interest Points for Exposing Image Region Duplication Forgery

By Haitham Hasan Badi, Bassam Sabbri and Fitian Ajeel

76

Open access peer-reviewed

4. The Application of Motor Imagery to Neurorehabilitation

By Yoshibumi Bunno

68

Open access peer-reviewed

5. Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment

By Maryam Alimardani, Shuichi Nishio and Hiroshi Ishiguro

111

Open access peer-reviewed

6. SSVEP-Based BCIs

By Rajesh Singla

96

Open access peer-reviewed

7. Hybrid Brain-Computer Interface Systems: Approaches, Features, and Trends

By Bijay Guragain, Ali Haider and Reza Fazel-Rezai

163

Open access peer-reviewed

8. Image-guided Placement of Magnetic Neuroparticles as a Potential High-Resolution Brain-Machine Interface

By Irving N. Weinberg, Lamar O. Mair, Sahar Jafari, Jose Algarin, Jose Maria Benlloch Baviera, James Baker-McKee, Bradley English, Sagar Chowdhury, Pulkit Malik, Jamelle Watson-Daniels, Olivia Hale, Pavel Y. Stepanov, Aleksandar Nacev, Ryan Hilaman, Said Ijanaten, Christian Koudelka, Ricardo Araneda, Jens Herberholz, Luz J. Martinez-Miranda, Benjamin Shapiro, Pablo S. Villar, Ilya Krivorotov, Sakhrat Khizroev and Stanley Fricke

120

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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