Brain-computer interface research : a state-of-the-art summary. 7 /

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Bibliographic Details
Imprint:	Cham, Switzerland : Springer Nature, [2019] ©2019
Description:	1 online resource (vi, 127 pages) : illustrations (some color)
Language:	English
Series:	SpringerBriefs in electrical and computer engineering SpringerBriefs in electrical and computer engineering.
Subject:	Brain-computer interfaces. Human-computer interaction. Brain-Computer Interfaces. Human-computer interaction. Brain-computer interfaces.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11930381

Hidden Bibliographic Details
Other authors / contributors:	Guger, Christoph, editor. Mrachacz-Kersting, Natalie, editor. Allison, Brendan Z., editor.
ISBN:	9783030056681 3030056686 3030056678 9783030056674
Notes:	Includes bibliographical references. Online resource; title from PDF title page (EBSCO, viewed July 15, 2019).
Summary:	Each year, the Annual BCI Research Award recognizes the top new projects in brain-computer interface (BCI) research. This book contains summaries of these projects from the 2017 BCI Research Award. Each chapter is written by the group that submitted the BCI project that was nominated, and introduction and discussion chapters provide supporting information and explore trends that are reflected in the annual awards each year. One of the prominent trends in recent years has been BCIs for new patient groups, and many chapters in this book present emerging research directions that might become more prevalent in the near future.
Other form:	Print version: 3030056678 9783030056674

Table of Contents:

Brain-Computer Interface Research: A State-of-the-Art Summary
Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
Online adaptive synchronous BCI system with attention variations
Using a BCI prosthetic hand to control phantom limb pain
Restoration of finger and arm movements using hybrid brain/neural assistive technology in everyday life environments
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance.-Targeted up-conditioning of contralesional corticospinal pathways promotes motor recovery in poststroke patients with severe chronic hemiplegia
Targeted up-conditioning of contralesional corticospinal pathways promotes motor recovery in poststroke patients with severe chronic hemiplegia
High Performance BCI in Controlling an Avatar Using the Missing Hand Representation in Long Term Amputees
Can BCI paradigms induce feelings of agency and responsibility overmovements?
Recent Advances in Brain-Computer Interface Research
A Summary of the 2017 BCI Award and BCI Research Trends.

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