Meet us at @cogcompneuro.bsky.social in Amsterdam! The team will be there, including @jaboyle.bsky.social (project lead), Basile Pinsard (data manager), and @lune-bellec.bsky.social (founder). #CCN2025
07.08.2025 20:36 — 👍 2 🔁 0 💬 0 📌 0@cneuromod.ca.bsky.social
The Courtois project on Neural Modelling (cneuromod) aims at training artificial neural networks to mimic extensive experimental data on individual human brain activity and behaviour.
Meet us at @cogcompneuro.bsky.social in Amsterdam! The team will be there, including @jaboyle.bsky.social (project lead), Basile Pinsard (data manager), and @lune-bellec.bsky.social (founder). #CCN2025
07.08.2025 20:36 — 👍 2 🔁 0 💬 0 📌 0The result? Nearly 1000 hours of task fMRI from 6 subjects (mostly 5). We're releasing experiments slowly, focusing on quality checks and well-documented derivatives for reuse. 5/6 participants made their data fully open (CC0), thanks to @conp-pcno.bsky.social
07.08.2025 20:32 — 👍 1 🔁 0 💬 1 📌 0Poster titled "Neuromod: The Courtois Project on Neuronal Modelling" with logos from Université de Montréal and the Centre de recherche de l'Institut universitaire de gériatrie de Montréal. Large bold text reads: 6 BRAINS – 987H-fMRI – 18 TASKS Followed by the subtitle: Naturalistic & Controlled – Multimodal / Perception + Action Each letter in "18 TASKS" contains thumbnails from various visual tasks. The central table summarizes 32 datasets grouped by primary domain (Vision, Audition, Language, Memory, Action, Other). For each dataset, the table indicates which stimulus modalities were used (Vision, Speech, Audio, Motion), what responses were collected (Physiology, Eye tracking, Explanations, Actions), and how many sessions and subjects were scanned. The overall visual style is playful and bold, with rainbow colors for modality types and rich iconography indicating data types.
In 2019, the CNeuroMod team and 6 participants began a massive data collection journey: twice-weekly MRI scans for most of 5 years. Data collection is now complete! 1/🧵
07.08.2025 20:30 — 👍 11 🔁 7 💬 1 📌 0Pair it with ∼75 h of video-watching fMRI per subject used in the 2025 @algonautsproject.bsky.social competition for a one-two controlled-naturalistic punch in modelling individual human vision. Huge thanks: THINGS Initiative, Courtois Foundation, our dedicated participants, and the CNeuroMod crew.
30.07.2025 01:59 — 👍 2 🔁 0 💬 0 📌 0four brain maps showing noise ceiling estimates in response to image presentation
New CNeuroMod-THINGS open-access fMRI dataset: 4 participants · ~4 000 images (720 categories) each shown 3× (12k trials per subject)· individual functional localizers & NSD-inspired QC . Preprint: arxiv.org/abs/2507.09024 Congrats Marie St-Laurent and @martinhebart.bsky.social !!
30.07.2025 01:57 — 👍 34 🔁 16 💬 1 📌 0Excited to announce the first workshop on CogInterp: Interpreting Cognition in Deep Learning Models @ NeurIPS 2025! 📣
How can we interpret the algorithms and representations underlying complex behavior in deep learning models?
🌐 coginterp.github.io/neurips2025/
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Can one hundred MRI scans be linked to hearing loss? The case of the Courtois NeuroMod project 🧠🎧👇🧵
21.04.2025 19:09 — 👍 11 🔁 6 💬 1 📌 0The CNeuroMod longitudinal brain and spine structural protocol
🧠📊 Just out: a deeply sample structural brain and spine dataset from the cneuromod.ca team, now published in Imaging Neuroscience! led by Mathieu Boudreau and Julien Cohen-Adad. 📰 Paper here: lnkd.in/ewXA3dED 1/🧵
01.04.2025 14:55 — 👍 15 🔁 10 💬 1 📌 1