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.

• Participants: Manuel Lopes, Jonathan Grizou and Pierre-Yves Oudeyer

• Contact: Jonathan Grizou

• URL: https://github.com/flowersteam/self_calibration_BCI_plosOne_2015/