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008			210828s2021 sz | s |||| 0|eng d
020			_a9783030792879
024	7		_a10.1007/978-3-030-79287-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP360.7 _b2021 EB
245	0	0	_aBrain-Computer Interface Research : _bA State-of-the-Art Summary 10 _cedited by Christoph Guger, Brendan Z. Allison, Aysegul Gunduz
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (VI, 125 páginas) _b40 ilustraciones, 35 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aSpringerBriefs in Electrical and Computer Engineering _x2191-8120
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_a1 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.
520	3		_aThe 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.
988			_aSpringer_Computer_2021
650		7	_2embne _9424375 _aInterfaces cerebro-ordenador
700	1		_aGuger, Christoph _eeditor literario
700	1		_aAllison, Brendan Z _eeditor literario
700	1		_aGunduz, Aysegul _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79287-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eu _zSI