Co-Adaptive Brain Machine Interfaces

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Event details

Date 06.04.2009
Hour 16:00
Speaker Prof. Jose C. Principe, University of Florida
Location
Category Conferences - Seminars
We propose a new co-adaptive close loop paradigm for BMIs based on reinforcement learning. The subject’s motor cortical neural activity is translated into a value function for a computer agent (CA) running Q learning that controls the actions of a robot to deliver a water reward to the subject. Preliminary results show that the subject and the agent are able to cooperate and improve their joint performance across task difficulty.

Practical information

  • General public
  • Free

Contact

  • Walter Karlen

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