Excited to share that seq-JEPA has been accepted to NeurIPS 2025!

Hafez Ghaemi@hafezghm.bsky.social · last yr.

Preprint Alert 🚀 Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning? TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors! 🧵 (1/10)

We’ll be at CCN next week with two posters, one contributed talk and one satellite talk! If you are interested in neural coding in primate hippocampus, modeling visual search, or cortical topography come and talk to us! See👇for details:

A few years ago, with @tyrellturing.bsky.social @patrickmineault.bsky.social and others, we showed one single objective (prediction) was sufficient for explaining specialized pathways of mouse visual cortex: tinyurl.com/2vsjbve7 Super cool to see the same observation now for human visual cortex.

Martin Schrimpf@mschrimpf.bsky.social · last yr.

What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception

I’ll be at @iclr-conf.bsky.social presenting our work “Credit-based self organizing maps: training deep topographic networks with minimal performance degradation” — if you're into #NeuroAI, cortical topography, vision, or just up for a good convo, drop by and DM me! 🧠✨

📢 We have a new #NeuroAI postdoctoral position in the lab! If you have a strong background in #NeuroAI or computational neuroscience, I’d love to hear from you. (Repost please) 🧠📈🤖

I am excited to share that my undergraduate research has now been accepted to #ICLR2025. 📎: openreview.net/pdf?id=wMgr7... 🧑‍💻: github.com/BashivanLab/... Tweeprint🧵⬇️

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