🌙 Lune Bellec
@lune-bellec.bsky.social
🏳️🌈 🏳️⚧️ 🌈♾️ Prof in psychology at Université de Montréal. Founder of the https://cneuromod.ca project: breeding individual 🤖 to mimic individual human 🧠. Delegate for digital health at the Montreal Geriatrics Institute https://criugm.qc.ca/
Reposted by 🌙 Lune Bellec
a gross parliamentary overreach — article by @picardonhealth.bsky.social in the globe and mail; #academicsky #neuroskyence #psychscisky www.theglobeandmail.com/gift/91587b9...
How much are MPs entitled to know about research grants? Not as much as they think
A parliamentary committee is asking for academics’ private information on a strange anti-DEI crusade
www.theglobeandmail.com
November 4, 2025 at 11:30 AM
a gross parliamentary overreach — article by @picardonhealth.bsky.social in the globe and mail; #academicsky #neuroskyence #psychscisky www.theglobeandmail.com/gift/91587b9...
Reposted by 🌙 Lune Bellec
The 2nd CogBases Workshop is this 4 & 5 Nov at Institut Pasteur!
We'll discuss the latest in open science methods for analysing brain imaging data. Registration free, but mandatory
neuroanatomy.github.io/cogbases-2025/
@k4tj4.bsky.social @cmaumet.bsky.social @bthirion.bsky.social @demw.bsky.social
We'll discuss the latest in open science methods for analysing brain imaging data. Registration free, but mandatory
neuroanatomy.github.io/cogbases-2025/
@k4tj4.bsky.social @cmaumet.bsky.social @bthirion.bsky.social @demw.bsky.social
October 14, 2025 at 10:33 AM
The 2nd CogBases Workshop is this 4 & 5 Nov at Institut Pasteur!
We'll discuss the latest in open science methods for analysing brain imaging data. Registration free, but mandatory
neuroanatomy.github.io/cogbases-2025/
@k4tj4.bsky.social @cmaumet.bsky.social @bthirion.bsky.social @demw.bsky.social
We'll discuss the latest in open science methods for analysing brain imaging data. Registration free, but mandatory
neuroanatomy.github.io/cogbases-2025/
@k4tj4.bsky.social @cmaumet.bsky.social @bthirion.bsky.social @demw.bsky.social
Reposted by 🌙 Lune Bellec
OpenNeuro @openneuro.bsky.social just hit a huge milestone: 1500 datasets! Congrats to the team on making this project so successful over the last 7 years.
October 13, 2025 at 11:35 PM
OpenNeuro @openneuro.bsky.social just hit a huge milestone: 1500 datasets! Congrats to the team on making this project so successful over the last 7 years.
Reposted by 🌙 Lune Bellec
The Biological Psychiatry family of journals is now officially on Bluesky!
Follow us for the latest research in psychiatric neuroscience, cognitive neuroimaging, and global open science from our three leading journals.
Follow us for the latest research in psychiatric neuroscience, cognitive neuroimaging, and global open science from our three leading journals.
September 25, 2025 at 9:36 AM
The Biological Psychiatry family of journals is now officially on Bluesky!
Follow us for the latest research in psychiatric neuroscience, cognitive neuroimaging, and global open science from our three leading journals.
Follow us for the latest research in psychiatric neuroscience, cognitive neuroimaging, and global open science from our three leading journals.
Many brain imaging “biomarkers” for autism have been proposed. Most aim for balanced accuracy (matching sensivity/specificity) on datasets where cases and controls are split 50/50. 1/🧵
September 8, 2025 at 1:59 PM
Many brain imaging “biomarkers” for autism have been proposed. Most aim for balanced accuracy (matching sensivity/specificity) on datasets where cases and controls are split 50/50. 1/🧵
"A murder of butterflies" has a nice ring to it.
August 24, 2025 at 12:03 PM
"A murder of butterflies" has a nice ring to it.
Reposted by 🌙 Lune Bellec
This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts :
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
August 13, 2025 at 3:51 PM
This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts :
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
Reposted by 🌙 Lune Bellec
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan | doi.org/10.1371/jour...
How does blood perfusion map onto canonical features of brain structure and function? @asafarahani.bsky.social investigates @plosbiology.org ⤵️
How does blood perfusion map onto canonical features of brain structure and function? @asafarahani.bsky.social investigates @plosbiology.org ⤵️
August 8, 2025 at 2:24 PM
Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan | doi.org/10.1371/jour...
How does blood perfusion map onto canonical features of brain structure and function? @asafarahani.bsky.social investigates @plosbiology.org ⤵️
How does blood perfusion map onto canonical features of brain structure and function? @asafarahani.bsky.social investigates @plosbiology.org ⤵️
Reposted by 🌙 Lune Bellec
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/🧵
August 7, 2025 at 8:30 PM
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/🧵
Reposted by 🌙 Lune Bellec
Automated testing with GitHub Actions - the latest in my Better Code, Better Science series russpoldrack.substack.com/p/automated-...
Automated testing with GitHub Actions
Better Code, Better Science: Chapter 4, Part 7
russpoldrack.substack.com
August 5, 2025 at 3:29 PM
Automated testing with GitHub Actions - the latest in my Better Code, Better Science series russpoldrack.substack.com/p/automated-...
Reposted by 🌙 Lune Bellec
🥁... we are SO happy to officially announce that registration is now OPEN for our OHBM Virtual Satellite Meeting, taking place September 10-12!
This has been a major goal of the SEA-SIG for a while now and we're so excited to show you what we've been working on!
🌱🌎✨🧠
This has been a major goal of the SEA-SIG for a while now and we're so excited to show you what we've been working on!
🌱🌎✨🧠
🌍🧠 Join us for the OHBM & SEA-SIG Virtual Satellite Meeting!
📅 Sept 10–12, 2025 | 🕛 12–15 UTC
💻 Online via Zoom
🔗 More info: https://humanbrainmapping.org/25SEASIG
#OHBM #SEASIG
📅 Sept 10–12, 2025 | 🕛 12–15 UTC
💻 Online via Zoom
🔗 More info: https://humanbrainmapping.org/25SEASIG
#OHBM #SEASIG
August 1, 2025 at 3:51 PM
🥁... we are SO happy to officially announce that registration is now OPEN for our OHBM Virtual Satellite Meeting, taking place September 10-12!
This has been a major goal of the SEA-SIG for a while now and we're so excited to show you what we've been working on!
🌱🌎✨🧠
This has been a major goal of the SEA-SIG for a while now and we're so excited to show you what we've been working on!
🌱🌎✨🧠
Reposted by 🌙 Lune Bellec
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 !!
July 30, 2025 at 1:57 AM
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 !!
Reposted by 🌙 Lune Bellec
1/11 Very excited to say that our preprint, Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain, is up on biorxiv!
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain
Human brain organization shares a common underlying structure, though recent studies have shown that features of this organization also differ significantly across individual adults. Understanding the...
www.biorxiv.org
July 28, 2025 at 9:54 PM
1/11 Very excited to say that our preprint, Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain, is up on biorxiv!
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Reposted by 🌙 Lune Bellec
July 13, 2025 at 1:21 PM
Reposted by 🌙 Lune Bellec
Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information!
www.nature.com/articles/s43...
www.nature.com/articles/s43...
Advancing neural decoding with deep learning - Nature Computational Science
A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.
www.nature.com
July 11, 2025 at 2:03 PM
Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information!
www.nature.com/articles/s43...
www.nature.com/articles/s43...
Reposted by 🌙 Lune Bellec
Excited to co-organize our NeurIPS 2025 workshop on Foundation Models for the Brain and Body!
We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠 🧪 🦾
We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠 🧪 🦾
Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025! 🧠📈 🧪
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
July 11, 2025 at 7:51 PM
Excited to co-organize our NeurIPS 2025 workshop on Foundation Models for the Brain and Body!
We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠 🧪 🦾
We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠 🧪 🦾
Reposted by 🌙 Lune Bellec
This is why I think the platonic rep hypothesis doesn’t apply to brain-ANN alignment, since most existing (functional?) models are implicitly or explicitly trained to mimic humans.
The assumption of PRH is that the networks are trained independently which doesn’t hold in brain-ANN comparisons.
The assumption of PRH is that the networks are trained independently which doesn’t hold in brain-ANN comparisons.
This is what I tried to get at with the attempted “extension”, from the usual (sensory rep) PRH to a broader cognitive PRH, via imitation learning of language behavior (IMO all LLMs are trained to mimic humans, unless they independently discover language 😅).
Usually this is applied to sensory representations, and centaur tries to use language data to extend the theory to cognition, via language behavior data.
July 10, 2025 at 3:02 PM
This is why I think the platonic rep hypothesis doesn’t apply to brain-ANN alignment, since most existing (functional?) models are implicitly or explicitly trained to mimic humans.
The assumption of PRH is that the networks are trained independently which doesn’t hold in brain-ANN comparisons.
The assumption of PRH is that the networks are trained independently which doesn’t hold in brain-ANN comparisons.
Using intracranial brain recordings to guide representations in a vision-action AI model leads to faster and better training arxiv.org/abs/2506.208...
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
Transfer learning enhances the training of novel sensory and decision models by employing rich feature representations from large, pre-trained teacher models. Cognitive neuroscience shows that the hum...
arxiv.org
June 27, 2025 at 4:21 PM
Using intracranial brain recordings to guide representations in a vision-action AI model leads to faster and better training arxiv.org/abs/2506.208...
Reposted by 🌙 Lune Bellec
Just wrapped up my first real foray into analyzing brain data at Brainhack School 2025 a couple weeks ago 🧠💻
I focused on comparing fMRI techniques on a single subject, using fear as a case study.
school-brainhack.github.io/project/many...
I focused on comparing fMRI techniques on a single subject, using fear as a case study.
school-brainhack.github.io/project/many...
The Many Faces of Fear: Univariate, Predictive and Representational …
Brainhack School
school-brainhack.github.io
June 25, 2025 at 1:55 AM
Just wrapped up my first real foray into analyzing brain data at Brainhack School 2025 a couple weeks ago 🧠💻
I focused on comparing fMRI techniques on a single subject, using fear as a case study.
school-brainhack.github.io/project/many...
I focused on comparing fMRI techniques on a single subject, using fear as a case study.
school-brainhack.github.io/project/many...
Reposted by 🌙 Lune Bellec
Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s415...
What is the best measure of functional connectivity (FC)?
led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️
What is the best measure of functional connectivity (FC)?
led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️
June 20, 2025 at 7:57 PM
Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s415...
What is the best measure of functional connectivity (FC)?
led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️
What is the best measure of functional connectivity (FC)?
led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️
Reposted by 🌙 Lune Bellec
Research assistant job posting is live! Come join us in Calgary and be part of a supportive, interdisciplinary team.
careers.ucalgary.ca/jobs/1631661...
careers.ucalgary.ca/jobs/1631661...
June 20, 2025 at 8:53 PM
Research assistant job posting is live! Come join us in Calgary and be part of a supportive, interdisciplinary team.
careers.ucalgary.ca/jobs/1631661...
careers.ucalgary.ca/jobs/1631661...
Reposted by 🌙 Lune Bellec
Few originals available
Anyone interested can DM me.
Anyone interested can DM me.
June 19, 2025 at 2:09 PM
Few originals available
Anyone interested can DM me.
Anyone interested can DM me.
Reposted by 🌙 Lune Bellec
#OSCAwards2025 | open access, data, materials & software: OpenMReye: camera-free magnetic resonance-based eye tracking for research and clinical applications 👀🩻 by @matthiasnau.bsky.social
Find out more: github.com/DeepMReye/
Find out more: github.com/DeepMReye/
DeepMReye
DeepMReye is a software package for magnetic resonance-based eye tracking for (f)MRI experiments. Contact: m.nau[at]vu.nl & markus.frey1[at]gmail.com - DeepMReye
github.com
June 12, 2025 at 9:40 PM
#OSCAwards2025 | open access, data, materials & software: OpenMReye: camera-free magnetic resonance-based eye tracking for research and clinical applications 👀🩻 by @matthiasnau.bsky.social
Find out more: github.com/DeepMReye/
Find out more: github.com/DeepMReye/
Reposted by 🌙 Lune Bellec
Hi friends, I have news!
Giga connectome, a BIDS app for post-fMRIPrep connectome extraction, is now in @joss-openjournals.bsky.social 🎉
Thanks to @remigau.bsky.social, @clarken.bsky.social, Quentin Dessain, and @lune-bellec.bsky.social for working on this together
Giga connectome, a BIDS app for post-fMRIPrep connectome extraction, is now in @joss-openjournals.bsky.social 🎉
Thanks to @remigau.bsky.social, @clarken.bsky.social, Quentin Dessain, and @lune-bellec.bsky.social for working on this together
June 12, 2025 at 10:02 PM
Hi friends, I have news!
Giga connectome, a BIDS app for post-fMRIPrep connectome extraction, is now in @joss-openjournals.bsky.social 🎉
Thanks to @remigau.bsky.social, @clarken.bsky.social, Quentin Dessain, and @lune-bellec.bsky.social for working on this together
Giga connectome, a BIDS app for post-fMRIPrep connectome extraction, is now in @joss-openjournals.bsky.social 🎉
Thanks to @remigau.bsky.social, @clarken.bsky.social, Quentin Dessain, and @lune-bellec.bsky.social for working on this together
Reposted by 🌙 Lune Bellec
Text-to-LoRA: Instant Transformer Adaption
arxiv.org/abs/2506.06105
Generative models can now produce text, image, video. They should also be able to generate models! We trained a Hypernetwork to generate new task-specific LoRA models by simply giving it a description of the task as a text prompt.
arxiv.org/abs/2506.06105
Generative models can now produce text, image, video. They should also be able to generate models! We trained a Hypernetwork to generate new task-specific LoRA models by simply giving it a description of the task as a text prompt.
We’re excited to introduce Text-to-LoRA: a Hypernetwork that generates task-specific LLM adapters (LoRAs) based on a text description of the task. Catch our presentation at #ICML2025!
Paper: arxiv.org/abs/2506.06105
Code: github.com/SakanaAI/Tex...
Paper: arxiv.org/abs/2506.06105
Code: github.com/SakanaAI/Tex...
June 12, 2025 at 1:50 AM
Text-to-LoRA: Instant Transformer Adaption
arxiv.org/abs/2506.06105
Generative models can now produce text, image, video. They should also be able to generate models! We trained a Hypernetwork to generate new task-specific LoRA models by simply giving it a description of the task as a text prompt.
arxiv.org/abs/2506.06105
Generative models can now produce text, image, video. They should also be able to generate models! We trained a Hypernetwork to generate new task-specific LoRA models by simply giving it a description of the task as a text prompt.