Designing Closed-Loop Brain-Machine Interfaces Using Model Predictive Control

Designing Closed-Loop Brain-Machine Interfaces Using Model Predictive Control

Brain-machine interfaces (BMIs) are broadly defined as systems that establish direct communications between living brain tissue and external devices, such as artificial arms. By sensing and interpreting neuronal activities to actuate an external device, BMI-based neuroprostheses hold great promise i...

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Bibliographic Details
Main Authors: Gautam Kumar, Mayuresh V. Kothare, Nitish V. Thakor, Marc H. Schieber, Hongguang Pan, Baocang Ding, Weimin Zhong
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Technologies
Subjects:
closed-loop brain-machine interfaces
artificial sensory feedback
model predictive control
Online Access:http://www.mdpi.com/2227-7080/4/2/18

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http://www.mdpi.com/2227-7080/4/2/18

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