Geeling Chau

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

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

In #Banff for the #BCISociety #BCI2025 meeting!

How can Machine Learning benefit BCIs?
🤝Would love to meet! (DM me)
📍Poster: Jun 4 (Wed) 4-6pm. P2-G-68
🗣Talk: Jun 5 (Thurs) Morning. W21: Large neural data models for brain-computer interfaces. Organized by
@joelye.bsky.social
🙌

Neural Encoding and Decoding at Scale (NEDS) is now accepted to @icmlconf.bsky.social as a spotlight (top 2.6%)! 🧠 🧪

If you missed us, we'll be speaking at 4:06pm (Friday) in Garnet 216-218! Hope to see you there! :)

Come find us in Hall 3! Can’t wait to meet you and talk about modeling brain data across heterogeneous datasets!

Want to scale models on brain datasets recorded with variable sensor layouts?

Population Transformer at #ICLR2025 may be your answer!
🗺️ Fri, Apr 25 | 10am - 12:30pm (poster @ Hall 3 + Hall 2B #58)
🗣️ Fri, Apr 25 | 4:06 pm - 4:18 pm (oral @ Garnet 216-218)

More ⬇️

It was so fun to be a part of this! Huge thanks to the organizers for putting it together!

Looking forward to joining the FM for neuro conversation at the #COSYNE2025 workshops!

I will be sharing some of our experiences scaling models for iEEG datasets with variable layouts and high-resolution temporal signals. Hope to see you there!

Eva Dyer and I wrote an opinion piece for @thetransmitter.bsky.social on why neuroscience needs to embrace complexity and accept the "bitter lesson" by using a data-driven regime at scale.

With commentary from several wonderful researchers!

🧠📈 #NeuroAI 🧪

Would like to especially shout out
yisongyue.bsky.social, Sabera Talukder, Andrei Barbu, and Boris Katz for their valuable advice and unwavering support.
vsub851.bsky.social and Saraswati for their indispensable help. And
czlwang.bsky.social for marching through this with me. 🤗🎉

🎉Excited to share: My first ML conference paper, Population Transformer 🧠, is an Oral at #ICLR2025! This work has truly evolved since its first appearance as a workshop paper last year. So thankful to have worked with the best advisors + collaborators! 🤗 More soon!

NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions Workshop Examining the fusion of neuroscience and AI: unlocking brain-inspired algorithms, advancing biological and artificial intelligence

Catch me and czlwang.bsky.social presenting our poster today (12/14) 3:30-5:30pm at the #NeurIPS2024 NeuroAI Workshop! 🧠 neuroai-workshop.github.io

Paper: arxiv.org/abs/2406.03044

Thanks @chethanp.bsky.social for bringing the BCI gang together!

At @neuripsconf.bsky.social and thrilled to see so many brilliant minds in one place! 🤩🧠
If you’re exploring #MachineLearning for #Neurotech or #Neuroscience, let’s connect! Always up for discussions on brain decoding, BCIs, and scaling models for neuroscience. 🧠✨

Population Transformer: Learning Population-level Representations of Neural Activity We present a self-supervised framework that learns population-level codes for arbitrary ensembles of neural recordings at scale. We address two key challenges in scaling models with neural time-series...

I will touch on some work we've done on pretraining transformers across variable input layouts for 🔥 decoding and interpretability.

Read more here: arxiv.org/abs/2406.03044

Chen Institute Workshop on AI for Neuro

Excited to give my first talk this Friday! I will be speaking on "Transformers for Neural Time Series Decoding and Analysis: From Large-scale Pretraining to Insight" part of the Caltech Chen Institute AI for Neuro Workshop
neuroscience.caltech.edu/programs/wor...