Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research

Fabien Lotte; Andrzej Cichocki

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Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research

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Fabien Lotte

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PersonId : 4180
IdHAL : fabien-lotte
ORCID : 0000-0002-6888-9198
IdRef : 139468617

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Statistics [stat] Machine Learning [stat.ML] Computer Science [cs] Signal and Image Processing Computer Science [cs] Biotechnology Cognitive science Neuroscience

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workshopProposal-MachineLearningEEG-NF.pdf (48.25 Ko)

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https://hal.inria.fr/hal-01656747

Submitted on : Wednesday, December 6, 2017-8:15:36 AM

Last modification on : Monday, July 25, 2022-3:44:09 AM

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hal-01656747 , version 1 (06-12-2017)

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HAL Id : hal-01656747 , version 1

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Fabien Lotte, Andrzej Cichocki. Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research. rtFIN 2017 - real-time Functional Imaging and Neurofeedback conference, Nov 2017, Nara, Japan. pp.1-2. ⟨hal-01656747⟩

Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research

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