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A fast intracortical brain–machine interface with patterned optogenetic feedback
Author(s) -
Aamir Abbasi,
Dorian Goueytes,
Daniel E. Shulz,
Valérie EgoStengel,
Luc Estebanez
Publication year - 2018
Publication title -
journal of neural engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.594
H-Index - 111
eISSN - 1741-2560
pISSN - 1741-2552
DOI - 10.1088/1741-2552/aabb80
Subject(s) - optogenetics , brain–computer interface , computer science , neuroscience , interface (matter) , human–computer interaction , psychology , electroencephalography , parallel computing , maximum bubble pressure method , bubble
This is the first motor BMI that includes a short-latency, intracortical, somatosensory-like feedback. It will be a useful platform to discover efficient cortical feedback schemes towards future human BMI applications.

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