https://github.com/sylvchev/asap-p300-bci

Home for the code of ASAP, an end-to-end P300 BCI approach using Bayesian accumulation of Riemannian probabilities
https://github.com/sylvchev/asap-p300-bci

Last synced: about 2 months ago
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Home for the code of ASAP, an end-to-end P300 BCI approach using Bayesian accumulation of Riemannian probabilities

• Host: GitHub
• URL: https://github.com/sylvchev/asap-p300-bci
• Owner: sylvchev
• License: bsd-3-clause
• Created: 2022-08-26T10:26:53.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-23T13:14:31.000Z (about 1 year ago)
• Last Synced: 2024-05-02T02:05:20.073Z (8 months ago)
• Language: Python
• Size: 15.6 KB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ASAP: end-to-end P300-BCI

Home for the code of ASAP, an end-to-end P300 BCI approach using Bayesian accumulation of Riemannian probabilities.

For online implementation, see [P300-speller of TimeFlux](https://github.com/timeflux/demos).

# Publication

- Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo & Pierre Clisson

  *End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities*,

  Brain-Computer Interface, vol. 10, pp. 50-61, 2022

  https://hal.science/hal-03855169

  https://doi.org/10.1080/2326263X.2022.2140467