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<< Tuesday, December 12, 2017 >>

Tuesday, December 12, 2017

Dissertation Talk: How the brain explores and consolidates activity patterns to learn Brain-Machine Interface control

Seminar | December 12 | 2-3:30 p.m. | Cory Hall, Hogan Room/521


Vivek Ravindra Athalye, Electrical Engineering

Electrical Engineering and Computer Sciences (EECS)


The Brain-Machine Interface (BMI) is an emerging technology which directly translates neural activity into control signals for effectors such as computers, prosthetics, or even muscles. Work over the last decade has shown that high performance BMIs depend on machine learning to adapt parameters for decoding neural activity, but also on the brain learning to reliably produce desired neural...   More >



Dissertation Talk: How the brain explores and consolidates activity patterns to learn Brain-Machine Interface control

Presentation | December 12 | 2-3:30 p.m. | Cory Hall, Hogan Room / 521


Vivek Ravindra Athalye, Electrical Engineering

Electrical Engineering and Computer Sciences (EECS)


The Brain-Machine Interface (BMI) is an emerging technology which directly translates neural activity into control signals for effectors such as computers, prosthetics, or even muscles. Work over the last decade has shown that high performance BMIs depend on machine learning to adapt parameters for decoding neural activity, but also on the brain learning to reliably produce desired...   More >