Courtois Project on Neuronal Modelling's Avatar

Courtois Project on Neuronal Modelling

@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.

38 Followers  |  14 Following  |  5 Posts  |  Joined: 20.02.2025  |  1.455

Latest posts by cneuromod.ca on Bluesky

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

The 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    📌 0
Poster 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.

Poster 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    📌 0

Pair 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    📌 0
four brain maps showing noise ceiling estimates in response to image presentation

four 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    📌 0
Home First Workshop on Interpreting Cognition in Deep Learning Models (NeurIPS 2025)

Excited 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/

1/4

16.07.2025 13:08 — 👍 52    🔁 18    💬 1    📌 1

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    📌 0
The CNeuroMod longitudinal brain and spine structural protocol

The 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

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