Fabien Lotte

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France

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Articles (13)

The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering*

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Year:

2025

Reliable predictor of BCI motor imagery performance using median nerve stimulation

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Year:

2025

Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification

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Year:

2024

Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification

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Year:

2023

Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI

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Year:

2022

Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities

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Year:

2022

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

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Year:

2021

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

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Year:

2021

A physical learning companion for Mental-Imagery BCI User Training

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Year:

2020

Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

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Year:

2020

A physical learning companion for Mental-Imagery BCI User Training

Article Link

Year:

2020

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

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Year:

2020

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

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Year:

2020

Collaborators (6)

Ricardo Chavarriaga

Head Swiss office, CLAIRE initiative on Human-Centred Artificial Intelligence

Zürcher Hochschule für Angewandte Wissenschaften

SWITZERLAND

bertrand glize

University of Bordeaux

FRANCE

Camille Jeunet

CNRS Délégation Aquitaine-Limousin

FRANCE

Toshihisa Tanaka

Tokyo University of Agriculture and Technology

JAPAN

David Carlson

Assistant Professor

Duke University

UNITED STATES

khadijeh Sadatnejad

University of Bordeaux

FRANCE

Fabien Lotte

Research Interests

Explore related searches

Contact this professor

Articles (13)

The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering*

Reliable predictor of BCI motor imagery performance using median nerve stimulation

Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification

Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification

Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI

Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

A physical learning companion for Mental-Imagery BCI User Training

Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

A physical learning companion for Mental-Imagery BCI User Training

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Collaborators (6)

Ricardo Chavarriaga

bertrand glize

Camille Jeunet

Toshihisa Tanaka

David Carlson

khadijeh Sadatnejad

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