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Courtois Project on Neuronal Modelling

@cneuromod.ca

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.

Posts Replies Media

Courtois Project on Neuronal Modelling @cneuromod.ca · 12/08/2025

Importantly, In both cases, alignment collapsed on new game levels. This “demonstration ad absurdum” shows that meaningful brain alignment must be robust and generalize across conditions. 3/

brain–model alignment scores for human participants playing Super Mario Bros. Models include (1) a conventional convolutional neural network trained on the task, and (2) the raw NES console memory. Both show comparable alignment on the training levels but a sharp drop to near-zero alignment on unseen levels, highlighting poor out-of-distribution generalization.

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Courtois Project on Neuronal Modelling @cneuromod.ca · 07/08/2025

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/🧵

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.

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Courtois Project on Neuronal Modelling @cneuromod.ca · 30/07/2025

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 !!

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

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