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Daniel Bacher

Researcher at Brown University

Publications -  13
Citations -  2820

Daniel Bacher is an academic researcher from Brown University. The author has contributed to research in topics: Brain–computer interface & Tetraplegia. The author has an hindex of 9, co-authored 13 publications receiving 2374 citations.

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Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

TL;DR: The results demonstrate the feasibility for people with tetraplegia, years after injury to the central nervous system, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.
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Neural Point-and-Click Communication by a Person With Incomplete Locked-In Syndrome.

TL;DR: This study demonstrates the first use of an intracortical brain–computer interface for neural point-and-click communication by an individual with incomplete locked-in syndrome.
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Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals

TL;DR: This study demonstrates stable repeated use of an intracortical brain-computer interface by people with tetraplegia over up to four and a half months, and indicates that people with locked-in syndrome could soon use a slow but reliable LFP-based BCI for everyday communication without ongoing intervention from a technician or caregiver.
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Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia.

TL;DR: Whether CL calibration creates a better decoder than OL calibration even when all other factors that might influence performance are held constant is tested, which may enable robust neural control without needing to pause ongoing, practical use of BCIs.