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Brain-computer interface researcha s...
~
Allison, Brendan Z.
Brain-computer interface researcha state-of-the-art summary 10 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Brain-computer interface researchedited by Christoph Guger, Brendan Z. Allison, Aysegul Gunduz.
Reminder of title:
a state-of-the-art summary 10 /
other author:
Guger, Christoph.
Published:
Cham :Springer International Publishing :2021.
Description:
vi, 125 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Brain-computer interfaces.
Online resource:
https://doi.org/10.1007/978-3-030-79287-9
ISBN:
9783030792879
Brain-computer interface researcha state-of-the-art summary 10 /
Brain-computer interface research
a state-of-the-art summary 10 /[electronic resource] :edited by Christoph Guger, Brendan Z. Allison, Aysegul Gunduz. - Cham :Springer International Publishing :2021. - vi, 125 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8120. - SpringerBriefs in electrical and computer engineering..
1 Enhancing gesture decoding performance using signals from human posterior parietal cortex -- Machine translation of cortical activity to text -- 2 Towards practical MEG-BCI with optically pumped magnetometers -- 3 EEG decoding of pain perception for a real-time reflex system in prostheses -- 4 A computer-brain interface that restores lost extremities touch and movement sensations -- 5 Restoring the sense of touch using a sensorimotor demultiplexing neural interface -- 6 A brain-spine interface complements deep-brain stimulation to both alleviate gait and balance deficits and increase alertness in a primate model of Parkinson's disease -- 7 Speaker-independent auditory attention decoding without access to clean speech sources -- 8 A high-performance handwriting BCI -- 9 A neuromorphic brain computer interface for real-time detection of a new biomarker for epilepsy surgery -- 10 "Sono-optogenetics": An ultrasound-mediated non-invasive optogenetic brain-computer interface -- 11 High-dimensional (8D) control of complex effectors such as an exoskeleton by a tetraplegic subject using chronic ECoG recordings using stable and robust over time adaptive direct neural decoder.
The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research. This book contains concise descriptions of projects nominated for the 2020 BCI Research Award and interviews with nominees. Each article is authored by the researchers who developed the project, and articles have been updated with new progress achieved since their nomination. These chapters are complemented by an introduction by the editors together with a concluding chapter that reviews the annual Awards Ceremony, announces the winners, and ends with a brief discussion. One of the prominent trends in recent years has been the development of BCIs for restoring limb use and for aiding optical and auditory sensory perception. Many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future. This year's book includes chapters based on interviews with BCI experts who were nominated for an award, including this year's first, second, and third place winners. These interview chapters are generally less technical than project descriptions, and provide individual perspectives from people actively working on new methods and systems.
ISBN: 9783030792879
Standard No.: 10.1007/978-3-030-79287-9doiSubjects--Topical Terms:
286641
Brain-computer interfaces.
LC Class. No.: QP360.7
Dewey Class. No.: 005.437
Brain-computer interface researcha state-of-the-art summary 10 /
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1 Enhancing gesture decoding performance using signals from human posterior parietal cortex -- Machine translation of cortical activity to text -- 2 Towards practical MEG-BCI with optically pumped magnetometers -- 3 EEG decoding of pain perception for a real-time reflex system in prostheses -- 4 A computer-brain interface that restores lost extremities touch and movement sensations -- 5 Restoring the sense of touch using a sensorimotor demultiplexing neural interface -- 6 A brain-spine interface complements deep-brain stimulation to both alleviate gait and balance deficits and increase alertness in a primate model of Parkinson's disease -- 7 Speaker-independent auditory attention decoding without access to clean speech sources -- 8 A high-performance handwriting BCI -- 9 A neuromorphic brain computer interface for real-time detection of a new biomarker for epilepsy surgery -- 10 "Sono-optogenetics": An ultrasound-mediated non-invasive optogenetic brain-computer interface -- 11 High-dimensional (8D) control of complex effectors such as an exoskeleton by a tetraplegic subject using chronic ECoG recordings using stable and robust over time adaptive direct neural decoder.
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The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research. This book contains concise descriptions of projects nominated for the 2020 BCI Research Award and interviews with nominees. Each article is authored by the researchers who developed the project, and articles have been updated with new progress achieved since their nomination. These chapters are complemented by an introduction by the editors together with a concluding chapter that reviews the annual Awards Ceremony, announces the winners, and ends with a brief discussion. One of the prominent trends in recent years has been the development of BCIs for restoring limb use and for aiding optical and auditory sensory perception. Many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future. This year's book includes chapters based on interviews with BCI experts who were nominated for an award, including this year's first, second, and third place winners. These interview chapters are generally less technical than project descriptions, and provide individual perspectives from people actively working on new methods and systems.
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based on 0 review(s)
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