Section: New Software and Platforms
Self-calibration BCI
Keywords: Neurosciences - Health - Brain-Computer Interface
Functional Description
Self-calibration BCI is a Matlab library which allows a robot to be instructed a new task by a human using communicative signals initially totally unknown to the robot. It is was extended and improved in the context of EEG-based brain-machine interfaces (BMIs).
It results in a BCI based control of sequential tasks with feedback signals that do not require any calibration process. As a by-product, the method provides an unsupervised way to train a decoder with the same performance than state-of-the-art supervised classifiers, while keeping the system operational and solving, with a lower performance during the first steps, the unknown task. The algorithm has been tested with online experiments, showing that the users were able to guide from scratch an agent to a desired position.
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Participants: Manuel Lopes, Jonathan Grizou and Pierre-Yves Oudeyer
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URL: https://github.com/flowersteam/self_calibration_BCI_plosOne_2015/