🚨 New preprint alert! 🧠🤖 We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up. 🧠📈 A 🧵: tinyurl.com/yr8tawj3

The curriculum effect in visual learning: the role of readout dimensionality

Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...

tinyurl.com

Excited to share that POSSM has been accepted to #NeurIPS2025! See you in San Diego 🏖️

Avery HW Ryoo@averyryoo.bsky.social · last yr.

New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and even species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7

I'm very excited to announce the publication of our new book Neural Interfaces, published by Elsevier. The book is a comprehensive resource for all those interested and gravitating around neural interfaces and brain-computer interfaces (BCIs). shop.elsevier.com/books/neural...

Neural Interfaces

Neural Interfaces is a comprehensive book on the foundations, major breakthroughs, and most promising future developments of neural interfaces. The bo

shop.elsevier.com

Step 1: Understand how scaling improves LLMs. Step 2: Directly target underlying mechanism. Step 3: Improve LLMs independent of scale. Profit. In our ACL 2025 paper we look at Step 1 in terms of training dynamics. Project: mirandrom.github.io/zsl Paper: arxiv.org/pdf/2506.05447

(1/n)🚨Train a model solving DFT for any geometry with almost no training data Introducing Self-Refining Training for Amortized DFT: a variational method that predicts ground-state solutions across geometries and generates its own training data! 📜 arxiv.org/abs/2506.01225 💻 github.com/majhas/self-...

Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always the case. For example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8

New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and even species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7

I am joining @ualberta.bsky.social as a faculty member and @amiithinks.bsky.social! My research group is recruiting MSc and PhD students at the University of Alberta in Canada. Research topics include generative modeling, representation learning, interpretability, inverse problems, and neuroAI.

Scaling models across multiple animals was a major step toward building neuro-foundation models; the next frontier is enabling multi-task decoding to expand the scope of training data we can leverage. Excited to share our #ICLR2025 Spotlight paper introducing POYO+ 🧠 poyo-plus.github.io 🧵

Interested in foundation models for #neuroscience? Want to contribute to the development of the next-generation of multi-modal models? Come join us at IVADO in Montreal! We're hiring a full-time machine learning specialist for this work. Please share widely! #NeuroAI 🧠📈 🧪

IVADO@ivado.bsky.social · last yr.

🔍 [Job Offer] #MachineLearning Specialist. Join the IVADO Research Regroupement - AI and Neuroscience (R1) to develop foundational models in the field of neuroscience. More info: ivado.ca/2025/04/08/s... #JobOffer #AI #Neuroscience #Research #MachineLearning

📽️Recordings from our @cosynemeeting.bsky.social #COSYNE2025 workshop on “Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" are now online: neuro-agent-models.github.io 🧠🤖

Satpreet (Sat) Singh@satpreetsingh.bsky.social · last yr.

📣 Excited to announce our workshop "Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" at the upcoming @cosynemeeting.bsky.social #CoSyNe2025! 🧠🤖 🪱🪰🐟🐝🐭💪 Schedule: neuro-agent-models.github.io 🗓️ Join us in Mont-Tremblant, Canada, on March 31!

Talk recordings from our COSYNE Workshop on Neuro-foundation Models 🌐🧠 are now up on the workshop website! neurofm-workshop.github.io

COSYNE 2025 Workshop - Building a foundation model for the brain

Join us to explore neuro-foundation models. March 31-April 1, 2025 in Mont Tremblant, Canada.

neurofm-workshop.github.io

Avery HW Ryoo@averyryoo.bsky.social · last yr.

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @cosynemeeting.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!

Very late, but had a 🔥 time at my first Cosyne presenting my work with @nandahkrishna.bsky.social, Ximeng Mao, @mattperich.bsky.social, and @glajoie.bsky.social on real-time neural decoding with hybrid SSMs. Keep an eye out for a preprint (hopefully) soon 👀 #Cosyne2025 @cosynemeeting.bsky.social

Excited to be at #Cosyne2025 for the first time! I'll be presenting my poster [2-104] during the Friday session. E-poster here: www.world-wide.org/cosyne-25/se...

How sequential curricula enhance visual learning generalization: The role of subspace dimensionality

COSYNE 2025 e-Poster by Charlotte Volk, Christopher C. Pack, Shahab Bakhtiari

world-wide.org

Shahab Bakhtiari@shahabbakht.bsky.social · last yr.

We'll be presenting two projects at #Cosyne2025, representing two main research directions in our lab: 🧠🤖 🧠📈 1/3

We'll be presenting two projects at #Cosyne2025, representing two main research directions in our lab: 🧠🤖 🧠📈 1/3

Just a couple days until Cosyne - stop by [3-083] this Saturday and say hi! @nandahkrishna.bsky.social

This will be a more difficult Cosyne than normal, due to both the travel restrictions for people coming from the US and the strike that may be happening at the hotel in Montreal. But, we can still make this an awesome meeting as usual, y'all. Let's pull together and make it happen! 🧠📈 #Cosyne2025

Join us at #COSYNE2025 to explore recent advancements in large-scale training and analysis of brain data! 🧠🟦 We also made a starter pack with (most of) our speakers: go.bsky.app/Ss6RaEF

Neuro-foundation models Workshop - COSYNE 2025

Join the conversation

go.bsky.app

Avery HW Ryoo@averyryoo.bsky.social · last yr.

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @cosynemeeting.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @cosynemeeting.bsky.social #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 – April 1!

Hi! Looking for an undergrad volunteer who's interested in working with SSMs + transformers for neural decoding/BCIs at Mila! Strong coding + Pytorch skills are a must. Please DM/email me your CV + interests (priority given to those based in Montréal). Thanks! 🧠🤖

Really excited to read this paper - composing multiple diffusion models/EBMs is something I've been really interested in lately. I think there's potential in this direction for improving the controllability/interpretability of your generation process + mixing and matching pre-trained modules.

Kirill Neklyudov@k-neklyudov.bsky.social · 2y ago

🧵(1/7) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new, bigger model? 🚀 Introducing SuperDiff 🦹‍♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!

Some exciting news in time for the holidays 🎄🎁☃️ I'll be at Cosyne 2025 (@cosynemeeting.bsky.social) to present our work on generalizable real-time decoding for BCIs 🧠🦾 Really looking forward to seeing everyone in Montréal 🇨🇦! Stay tuned for more details in the new year🤘

(whipping my around in a crowded party to figure out who just said 'Cocktail Party Effect')

Study computer science to avoid writing essays -> Need to write good grant essays to continue studying computer science

The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...

sinthlab EoY social! I'm grateful everyday that I get to work with such a kind and intelligent group of individuals. @mattperich.bsky.social @oliviercodol.bsky.social @anirudhgj.bsky.social

We're presenting our spotlight paper on transition path sampling at #NeurIPS2024 this week! Learn how to speed up the conventional Monte Carlo approaches by orders of magnitude Wed 11 Dec 4:30 pm #2606 arxiv.org/abs/2410.07974 first authors = {Yuanqi Du, Michael Plainer, @brekelmaniac.bsky.social}

Come by tomorrow (Wed) 11am-2pm at @neuripsconf.bsky.social Poster #1606 to chat more about AURORA 🌌, text-guided editing, and why it is arguably more interesting than image generation Or anything related to world models, evals/analysis/interp, vision+language reasoning, cogsci, academic life!

Benno Krojer@bennokrojer.bsky.social · 2y ago

AURORA 🌌 is now accepted as a Spotlight at NeurIPS 🥂 We wondered if a model can do *controlled* video generation but in a *single* step? So we built a dataset+model for “taking actions” on images via editing, or what you could call single-step controlled video gen

Thrilled to share a new preprint exploring the spatial organization of multisensory convergence in the mouse isocortex! 🧠🎉 Even more special as it builds on work I started during my undergrad, a lifetime ago 👨‍🦳 Check it out here: www.biorxiv.org/content/10.1...

100% agree w/ Blake here – the biking infrastructure (esp. the amazing Bixi program) might arguably be my fave thing about MTL. But, despite there being a lot of work left to do, I was incredibly heartened to see a big increase of public bike stations the last time I went back home to Toronto 🚲🤞

Blake Richards@tyrellturing.bsky.social · 2y ago

Montreal, where I now live, has undergone a similar transition as Paris, and it's so wonderful (see picture of the pedestrianized zone near me). Meanwhile, in the city I grew up in (Toronto), car culture continues and the province has announced they're going to spend $50M to *remove* bike lanes. 🤦‍♂️