Bruno Aristimunha

According to our database, Bruno Aristimunha authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Channel Adaptation for EEG Foundation Models: A Systematic Benchmark Across Architectures, Tasks, and Training Regimes.

Kuntal Kokate, Bruno Aristimunha, Dung Truong, Arnaud Delorme

CoRR, April, 2026

SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization.

Bruno Aristimunha, Ce Ju, Antoine Collas, Florent Bouchard, Ammar Mian, Bertrand Thirion, Sylvain Chevallier, Reinmar J. Kobler

CoRR, February, 2026

2025

Braindecode: toolbox for decoding raw electrophysiological brain data with deep learning models.

Bruno Aristimunha, Pierre Guetshel, Martin Wimpff, Lukas Gemein, Cédric Rommel, Hubert J. Banville, Maciej Sliwowski, Daniel Wilson, Simon Brandt, Théo Gnassounou, Joseph Paillard, Bruna Lopes, Sara Sedlar, Thomas Moreau, Sylvain Chevallier, Alexandre Gramfort, Robin Tibor Schirrmeister

Dataset, December, 2025

MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.

Stefan Appelhoff, Matthew Sanderson, Teon L. Brooks, Marijn van Vliet, Romain Quentin, Chris Holdgraf, Maximilien Chaumon, Ezequiel Mikulan, Kambiz Tavabi, Richard Höchenberger, Dominik Welke, Clemens Brunner, Alexander Rockhill, Eric Larson, Adam Li, Ariel Rokem, Daniel McCloy, Austin J. Hurst, Diego Lozano-Soldevilla, Eduard Ort, Ethan Knights, Evgenii Kalenkovich, Franziska von Albedyll, Fu-Te Wong, Jean-Rémi King, Julia Guiomar Niso Galán, Richard M. Köhler, Robert Luke, Simon Kern, Sin Kim, Sophie Herbst, Swastika Gupta, Thomas Donoghue, Yorguin José Mantilla Ramos, Scott Huberty, Mathieu Scheltienne, Anand Saini, Bruno Hebling Vieira, Denis A. Engemann, Moritz Gerster, Laetitia Fesselier, Jonathan Vanhoecke, Ford McDonald, Pierre Guetschel, Mara Wolter, Julius Welzel, Kaare B. Mikkelsen, Amaia Benitez Andonegui, Thomas Hartmann, Aaron Earle-Richardson, William F. Turner, Christian O'Reilly, Berk Gerçek, Matthias Dold, Harrison Ritz, Alex Lopez Marquez, Nathan Azrak, Bruno Aristimunha, Kalle Mäkelä, Alexandre Gramfort, Mainak Jas

Dataset, December, 2025

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding.

Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme

CoRR, June, 2025

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study.

Martin Wimpff, Bruno Aristimunha, Sylvain Chevallier, Bin Yang

CoRR, February, 2025

2024

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark.

Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna Lopes, Sébastien Velut, Salim Khazem, Thomas Moreau

CoRR, 2024

Alljoined - A dataset for EEG-to-Image decoding.

Jonathan Xu, Bruno Aristimunha, Max Emanuel Feucht, Emma Qian, Charles Liu, Tazik Shahjahan, Martyna Spyra, Steven Zifan Zhang, Nicholas Short, Jioh Kim, Paula Perdomo, Ricky Renfeng Mao, Yashvir Sabharwal, Michael Ahedor Moaz Shoura, Adrian Nestor

CoRR, 2024

Geometric Neural Network based on Phase Space for BCI decoding.

Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo

CoRR, 2024

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding.

Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo

CoRR, 2024

Combining Euclidean Alignment and Data Augmentation for BCI decoding.

Gustavo H. Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Evaluating the structure of cognitive tasks with transfer learning.

Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel

CoRR, 2023

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.

Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo

IEEE Access, 2023

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification.

Caroline P. A. Moraes, Bruno Aristimunha, Lucas Heck Dos Santos, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo, Denis G. Fantinato, Aline Neves

Proceedings of the IEEE International Conference on Acoustics, 2023