Is mechanism modeling dead in the AI era?
ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that.
We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models
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Paper: www.nature.com/articles/s41...
Paper: www.nature.com/articles/s41...
For instance, the fraction of MMLU questions that are leaked in pretraining had gone from ~1% to 24% between OLMo-1 and 2 😬
Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...).
Interested? See the details in the comments. (1/3)
🧠🤖
Funded by @ivado.bsky.social and in collaboration with the IVADO regroupement 1 (AI and Neuroscience: ivado.ca/en/regroupem...).
Interested? See the details in the comments. (1/3)
🧠🤖
tl;dr: you can now chat with a brain scan 🧠💬
1/n
tl;dr: you can now chat with a brain scan 🧠💬
1/n
Agenda: snufa.net/2025/
Registration: www.eventbrite.co.uk/e/snufa-2025...
Thanks to all who voted on abstracts!
🤖🧠🧪
www.college-de-france.fr/fr/agenda/co...
With talks by Edvard Moser, Nancy Kanwisher, Liz Spelke, Manuela Piazza, Luca Bonatti and more!
www.college-de-france.fr/fr/agenda/co...
With talks by Edvard Moser, Nancy Kanwisher, Liz Spelke, Manuela Piazza, Luca Bonatti and more!
How does the complexity of this mapping change across LLM training? How does it relate to the model’s capabilities? 🤔
Announcing our #NeurIPS2025 📄 that dives into this.
🧵below
#AIResearch #MachineLearning #LLM
How does the complexity of this mapping change across LLM training? How does it relate to the model’s capabilities? 🤔
Announcing our #NeurIPS2025 📄 that dives into this.
🧵below
#AIResearch #MachineLearning #LLM
www.epfl.ch/about/workin...
www.epfl.ch/about/workin...
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple').
We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)
And let's non forget the academic groups that have shown the way (Willett et al. 2023). And continue to lead the innovation in this field:
www.nature.com/articles/s41...
And let's non forget the academic groups that have shown the way (Willett et al. 2023). And continue to lead the innovation in this field:
www.nature.com/articles/s41...
Application: shorturl.at/6NEyk
More info: www.cosyne.org/travel-grants
(1/2)
Application: shorturl.at/6NEyk
More info: www.cosyne.org/travel-grants
(1/2)
Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.
www.biorxiv.org/content/10.1...
1/2
Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.
www.biorxiv.org/content/10.1...
1/2
We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.”
Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior.
#cogsci #neuroskyence
We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.”
Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior.
#cogsci #neuroskyence
snufa.net/2025/
snufa.net/2025/
careers.epfl.ch/job/Lausanne...
careers.epfl.ch/job/Lausanne...
#neuroskyence
www.thetransmitter.org/this-paper-c...
forms.cloud.microsoft/e/XkZLavhaJe
More info at snufa.net/2025/
Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views.
Please repost.
forms.cloud.microsoft/e/XkZLavhaJe
More info at snufa.net/2025/
Note that we normally get around 700 participants and recordings go on YouTube and get 100s-1000s views.
Please repost.
We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass! 🧭
www.science.org/doi/10.1126/...
🧵1/
We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass! 🧭
www.science.org/doi/10.1126/...
🧵1/
www.economist.com/by-invitatio...
www.economist.com/by-invitatio...
🔍 Use computation & theory to tackle biological problems.
🖥️ Leverage state-of-the-art computational infrastructure
🤝 Collaborate across scientific disciplines
Apply by Nov. 3 @ https://janelia.link/theoryfellowprogram
🔍 Use computation & theory to tackle biological problems.
🖥️ Leverage state-of-the-art computational infrastructure
🤝 Collaborate across scientific disciplines
Apply by Nov. 3 @ https://janelia.link/theoryfellowprogram
www.cac.gov.cn/2025-03/14/c...
Translating in 🧵.
www.cac.gov.cn/2025-03/14/c...
Translating in 🧵.