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Could Brain Decoding Machines Change Our Minds?

delete2020-11-01
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V
Vincent Taschereau‐Dumouchel
M
Mathieu Roy *
DOI:10.1016/j.tics.2020.09.006delete
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Abstract

Abstract

En 中文
In a recent experiment, Zhang and colleagues designed a closed-loop brain-machine interface that learned to reduce participants' pain by decoding pain-related brain activity. In doing so, they also highlighted some of the challenges associated with coadaptive processes in brain-machine communication.
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Journal

Trends in Cognitive Sciences cover
Trends in Cognitive Sciences
IF:
17.2
Papers:
3.6K
Citations:
3.5W

Organization

U
university of california los angeles
Scholars:
5.3W
Papers: 4.2W
Citations: 89
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K