Neurosciences: Brain-Computer Interface

University of Illinois neuroscience research is using feedback information to design Brain-Machine Interfaces

BMI holds great possibility in providing a means for disabled people to
communicate more easily and effectively and there are potential
applications for manufacturing equipment to send communications
and feedback on the assembly line in a manufacturing facility.

Just imagine thinking a thought and that thought being transmitted to the screen of a computer through an interface between the brain and the machine.

Todd Coleman, Tim Bretl and Ed Maclin are doing just that and its called
a closed-loop framework to reason about brain-machine interface (BMI) designs.
Because the neural signals we acquire are noisy reflections of underlying intent, they model everything from a stochastic perspective. They are developing canonical design principles for operating closed-loop BMI systems using feedback information theory and stochastic control perspectives.

Tim Bretl, AE Assistant Professor and Ed Maclin, Beckman Institute are also
involved in this research and featured in the video.

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Science & Technology

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