NeurIPS 2025 EEG Foundation Challenge Now Open

Wed, 10 Sep 2025 00:00:00 +0000

The NeurIPS 2025 EEG Foundation Challenge is now open for submissions! As one of the organizers, I’m excited to invite the global research community to participate in this groundbreaking competition focused on advancing cross-task and cross-subject EEG decoding.

Challenge Overview

This challenge aims to push the boundaries of EEG analysis by developing foundation models capable of generalizing across different tasks and subjects. Participants will work with large-scale EEG datasets to create models that can:

Decode EEG signals across multiple cognitive tasks
Generalize to new subjects without extensive retraining
Handle the inherent variability in EEG data

Key Dates

Challenge Opens: September 2025
Submission Deadline: November 2025
Winners Announced: December 2025 at NeurIPS

Why Participate?

This challenge represents a unique opportunity to:

Contribute to advancing EEG analysis methodologies
Work with unprecedented large-scale EEG datasets
Compete for prizes and recognition at NeurIPS 2025
Collaborate with leading researchers in neuroscience and machine learning

Get Involved

For more information and to register, visit the official challenge website. We look forward to seeing innovative approaches that will shape the future of EEG analysis and brain-computer interfaces.

Meta Awards $130K Grant to Support Open Science at SCCN

Sat, 15 Feb 2025 00:00:00 +0000

I am excited to announce Meta’s generous gift to the Swartz Center for Computational Neuroscience. This unrestricted gift will enhance our efforts to promote open science and expand our comprehensive toolset, including EEGLAB, to encompass other modalities such as sEMG.

As co-PI on this grant, I am particularly grateful to Alexandre Gramfort for his unwavering advocacy for open science. This $130,000 award represents a significant investment in our mission to develop and maintain open-source tools for the neuroscience community.

The funding will support:

Enhancement of EEGLAB’s multimodal capabilities
Integration of sEMG (surface electromyography) analysis tools
Continued development of open science infrastructure
Training and educational resources for the global research community