iiinova — where your digital self keeps evolving

Reposted by Courtois Project on Neuronal Modelling

Alessandro Gifford @alessandrogifford.bsky.social · 24/11/2025

We’d love your feedback on BERG (github.com/gifale95/BERG): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable! forms.gle/pybrqcaqdso2... #NeuroAI #CompNeuro #neuroscience #AI

forms.gle

The Brain Encoding Response Generator (BERG) survey

Thank you for taking part in this survey aimed at (anonymously) collecting your thoughts and suggestions on a new resource called the Brain Encoding Response Generator (BERG; https://github.com/gifale...

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Courtois Project on Neuronal Modelling @cneuromod.ca · 21/11/2025

CNeuroMod is now on substack, and our first post highlights a new study showing that a tiny 2M-parameter audio model can be meaningfully fine-tuned on an individual brain with benefits for downstream AI tasks. open.substack.com/pub/cneuromo...

open.substack.com

When an audio AI Model Play 🧠 Dress-Up

This really is about fine-tuning an audio artificial network to align representations with human brain data, and seeing what happened next

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Courtois Project on Neuronal Modelling @cneuromod.ca · 10/11/2025

Our very own Isil Bilgin will share some updates on her work with Leila Wehbe and @lune-bellec.bsky.social to create brain-aligned language models by fine-tuning LLAMA-7B to produce brain-like embeddings.

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

This was presented by Yann Harel and coll. at poster #148 at @cogcompneuro.bsky.social . Abstract: 2025.ccneuro.org/poster/?id=n... End/

2025.ccneuro.org

Poster Presentation

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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 · 12/08/2025

We showed that the raw memory content of the NES console aligned with brain activity about as well as a convolutional neural network trained with RL. And the brain is obviously not a NES. 2/

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

Brain–AI alignment can reveal exciting similarities in representations. Our Super Mario Bros. experiment demonstrates an important caveat: alignment can be very brittle. 1/🧵

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Reposted by Courtois Project on Neuronal Modelling

Martin Hebart @martinhebart.bsky.social · 11/08/2025

Very much looking forward to #CCN2025! Would love to see you at our lab's talks and posters, and meet me at the panel discussion in the Algonauts session on Wednesday!

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Reposted by Courtois Project on Neuronal Modelling

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 · 11/08/2025

Yes! Thanks for asking. Hope to see you there 2025.ccneuro.org/poster/?id=P...

2025.ccneuro.org

Poster Presentation

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

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

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

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

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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/🧵

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

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.

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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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Reposted by Courtois Project on Neuronal Modelling

Jennifer Hu @jennhu.bsky.social · 16/07/2025

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

coginterp.github.io

Home

First Workshop on Interpreting Cognition in Deep Learning Models (NeurIPS 2025)

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Reposted by Courtois Project on Neuronal Modelling

🌙 Lune Bellec @lune-bellec.bsky.social · 21/04/2025

Can one hundred MRI scans be linked to hearing loss? The case of the Courtois NeuroMod project 🧠🎧👇🧵

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Reposted by Courtois Project on Neuronal Modelling

🌙 Lune Bellec @lune-bellec.bsky.social · 01/04/2025

🧠📊 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/🧵

The CNeuroMod longitudinal brain and spine structural protocol

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