New preprint! "A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments" 🔗 arxiv.org/abs/2512.13517 by Raymond Khazoum, Daniela Fernandes, Aleksandr Krylov, Qin Li and myself

🔥 Technical blog post (with maths and code) on how to render 4D objects, by Raihan Gafur 🔥 🔗 raihanthecooldude.com/spaceland-ep...

Happy to share my first work with a connection to myopia, a collaboration with EssilorLuxottica www.science.org/doi/10.1126/...

How does our brain excel at complex object recognition, yet get fooled by simple illusory contours? What unifying principle governs all Gestalt laws of perceptual organization? We may have an answer: integration of learned priors through feedback. New paper with @kenmiller.bsky.social! 🧵

🔥 "The Perception and Learning of 4D Object Geometry in Humans and Machines" 🔥 Master thesis work by Raihan Gafur. Check out his awesome blog post series! raihanthecooldude.com/spaceland-ep...

(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels.

(1/6) Excited to share a new preprint from our lab! Can large, deep nonlinear neural networks trained with indirect, low-dimensional error signals compete with full-fledged backpropagation? Tl;dr: Yes! arxiv.org/abs/2502.20580.

This is great stuff!

A comparison between humans and AI at recognizing objects in unusual poses Netta Ollikka, Amro Kamal Mohamed Abbas, Andrea Perin, Markku Kilpeläinen, Stephane Deny Action editor: Andrew Lampinen https://openreview.net/forum?id=yzbAFf8vd5 #poses #recognition #recognizing

hmm, thanks gpt, that's very clear now what a MRAC is

New Preprint: "On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory" by Andrea Perin and myself. Retweets of this post or the thread below are highly appreciated! Follow @zazzarazzaz.bsky.social for future updates on this line of work.

Interesting work on symmetries and learning!

Now published in @elife.bsky.social doi.org/10.7554/eLif... a fun collaboration with @clairemb90.bsky.social and Rainer Friedrich

I did my PhD with Ed Deci, who usually says very few words. In our meetings, it was his reserved nature that gradually allowed me to come out of my shell, be my own person. That experience teaches me one valuable lesson now that I mentor others: know when to shut up.

New Preprint: "On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory" by Andrea Perin and myself. Retweets of this post or the thread below are highly appreciated! Follow @zazzarazzaz.bsky.social for future updates on this line of work.

Little is known about how deep networks interact with structure in data. An important aspect of this structure is symmetry (e.g., pose transformations). Here, we (w/ @stphtphsn.bsky.social) study the generalization ability of deep networks on symmetric datasets: arxiv.org/abs/2412.11521 (1/n)

Pre-print 🧠🧪 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 1/8

Cutting it a bit fine, but here’s my review of the year in neuroscience for 2024 The eighth of these, would you believe? We’ve got dark neurons, tiny monkeys, the most complete brain wiring diagram ever constructed, and much more… Published on The Spike Enjoy! medium.com/the-spike/20...

thinking of calling this "The Illusion Illusion" (more examples below)

The Center for Neural Science at NYU is aiming to add another computational neuroscientist to our community: apply.interfolio.com/157767 Come join us! Deadline 31 Dec 2024