Intracortical Brain-Machine Interfaces Advance Sensorimotor Neuroscience
نویسندگان
چکیده
منابع مشابه
Intracortical Brain-Machine Interfaces Advance Sensorimotor Neuroscience
Brain-machine interfaces (BMIs) decode brain activity to control external devices. Over the past two decades, the BMI community has grown tremendously and reached some impressive milestones, including the first human clinical trials using chronically implanted intracortical electrodes. It has also contributed experimental paradigms and important findings to basic neuroscience. In this review, w...
متن کاملSemi-Supervised Classification for Intracortical Brain-Computer Interfaces Semi-Supervised Classification for Intracortical Brain-Computer Interfaces
Intracortical brain-computer interface (BCI) systems may one day allow paralyzed patients to interface with robotic arms or computer programs using their thoughts alone. However, a common and unaddressed issue with these systems is that due to small instabilities in the recorded signals, the decoding algorithms they rely upon must be retrained daily in a supervised manner. While this may be acc...
متن کاملSelf-recalibrating classifiers for intracortical brain-computer interfaces.
OBJECTIVE Intracortical brain-computer interface (BCI) decoders are typically retrained daily to maintain stable performance. Self-recalibrating decoders aim to remove the burden this may present in the clinic by training themselves autonomously during normal use but have only been developed for continuous control. Here we address the problem for discrete decoding (classifiers). APPROACH We r...
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Intracortical brain-computer interfaces (iBCIs) have allowed people with tetraplegia to control a computer cursor by imagining the movement of their paralyzed arm or hand. State-of-the-art decoders deployed in human iBCIs are derived from a Kalman filter that assumes Markov dynamics on the angle of intended movement, and a unimodal dependence on intended angle for each channel of neural activit...
متن کاملNon invasive Brain-Machine Interfaces
This document represents the final report of the study " Non invasive brain-machine interfaces " performed by the Interdepartmental Research Center " E. Piaggio " of the University of Pisa within the ARIADNA framework of activities promoted by the European Space Agency (ESA). Contents of the report are organized as follows. The first part presents a literature survey on the state of the art of ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2016
ISSN: 1662-453X
DOI: 10.3389/fnins.2016.00291