Monday 17 July 2017

Call for participation: Workshop on Brain-Machine Interface Systems 2017 (Oct 5-8)


IEEE SMC 2017’s 7th Workshop on Brain-Machine Interface Systems will be held October 5-8, 2017 at the Banff Center, Banff, Canada as part of the program of SMC 2017 – the flagship annual conference of the IEEE Systems, Man, and Cybernetics Society. The goal of the workshop is to provide a forum for researchers to present research results, facilitate the interaction and intellectual exchange between all researchers, developers and consumers of BMI technology. We invite contributions reporting the latest advances, innovations and applications in the field of BMI.

The workshop is organized by the IEEE SMC Technical Committee on Brain-Machine Interfaces Systems and is technically co-sponsored by the IEEE Brain Initiative.

Participation is free to all registered SMC2017 attendees. The theme of this year’s workshop is:
     
 “From Lab to Life: BMI Systems in the Coming Decade”
In the future, the range and sophistication of BMI Systems will achieve what seems impossible today: Intelligent neuromimetic prosthetics that function as a seamless extension of the brain; biocompatible nanotechnology that reside within the brain to read and write neural states without requiring a power supply; sensorimotor and cognitive BMI Systems that restore lost or compromised vision, hearing, memory, and mobility; and artificially intelligent cloud-based systems that seamlessly augment our cognitive capabilities. In the coming decade, we will see progress being made towards these goals.
The goal of the workshop is to provide a forum for researchers to present research results, facilitate the interaction and intellectual exchange between researchers, developers, and consumers of BMI technology. We invite contributions reporting the latest advances, innovations, and applications in the field of BMI. Also of interest will be the report and evaluation of complete systems considering aspects such as multidimensional performance metrics reflecting decoding accuracy, task performance, human factors, decoding algorithms, and feedback. These and other topics represent both challenges to the field and a tremendous opportunity for collaborative and multidisciplinary research, involving not only peers with expertise in the field of BMI, but also those with expertise in systems engineering, human-machine systems, cybernetics, and/or other disciplines. The four-day workshop will feature tutorials, panels, a brain hackathon, a number of prominent invited speakers from industry and academia, and presentations of contributed papers.

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