Simone Azeglio

Images (or image patches) are secretly multi-channel signals over groups. Below, the dihedral group of order 8: reflecting/rotating the image permutes the values in the magenta vector. So we can reshape the image into 8-tuples that all permute according to the dihedral group (edge case diagonals).

Thrilled to see this work accepted at NeurIPS!

Kudos to @hafezghm.bsky.social for the heroic effort in demonstrating the efficacy of seq-JEPA in representation learning from multiple angles.

#MLSky 🧠🤖

We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo.

With @wulfdewolf.bsky.social, Danai Katsanevaki, @arnoonken.bsky.social, @rochefortlab.bsky.social.

Paper and code at the end of the thread!

🧵1/7

Our illustrated guide to non-Euclidian ML is finally published!
Check it out for
⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field
⭐️ broken down tables for easy reading
⭐️ accessible text, additional refs, and more
iopscience.iop.org/article/10.1...

🚨New paper🚨

Neural manifolds went from a niche-y word to an ubiquitous term in systems neuro thanks to many interesting findings across fields. But like with any emerging term, people use it very differently.

Here, we clarify our take on the term, and review key findings & challenges rdcu.be/ex8hW

Do you study neural systems with feedback at different temporal-, spatial-, hierarchical-, data-, or computational- scales? Have you submitted your abstract to the "Neurocybernetics at Scale" symposium?
Due to multiple requests, new abstract submission deadline is 18 July! #AI4Science #cybernetics

NeurReps is back for its 4th edition at NeurIPS 2025! Stay tuned for updates!

Exciting new preprint from the lab: “Adopting a human developmental visual diet yields robust, shape-based AI vision”. A most wonderful case where brain inspiration massively improved AI solutions.

Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy

arxiv.org/abs/2507.03168

Lack of spontaneous activity (#retinalwaves) in early development prevents the formation of retinal circuits critical for stabilizing images as we move through the world. doi.org/10.1016/j.ce....

🧠✨ Join us for LAMINR: Learning and Aligning Manifolds of Single-Neuron Invariances — uncover the geometry of thought through implicit neural representations!

📅 Mon, Jun 16 @ 18:00 CET
🔗 Zoom | PW: 314159
🎙️ Part of the #NeurReps Global Seminar Series
#AI #Neuroscience #RepresentationLearning

NeurReps 2025 is starting to take shape! If you're interested in serving in the Program Committee 👇

Excited to share our latest study! 🧠✨ We reveal how non-direction-selective retinal ganglion cells encode motion beyond their receptive field, relaying the unconventional signals to the brain. A new insight into multimodal neurons in visual processing!

doi.org/10.1073/pnas...

Universality of representation in biological and artificial neural networks Many artificial neural networks (ANNs) trained with ecologically plausible objectives on naturalistic data align with behavior and neural representations in biological systems. Here, we show that this...

Why do diverse ANNs resemble brain representations? Check out our new paper with Colton Casto, @nogazs.bsky.social , Colin Conwell, Mark Richardson, & @evfedorenko.bsky.social on “Universality of representation in biological and artificial neural networks.” 🧠🤖
tinyurl.com/yckndmjt

Looking for the best systems #neuroscience #phd program? Champalimaud Centre for the Unknown has one! #PhDposition = fully funded. US-style lab rotations and an awesome community in Lisbon, Portugal. Apply by the end of Jan, 2025.
http://bit.ly/4iB9SwP

I dream of a future in which single neuron dynamics ➡️ circuit motifs ➡️ distributed computations are taught as part of the same curriculum and no one bats an eye and everyone is happy.

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment Sensory adaptation dynamically changes neural responses as a function of previous stimuli, profoundly impacting perception. The response changes induced by adaptation have been characterized in detail...

New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable. Similar results are seen in ANNs trained with metabolic constraints, suggesting these changes emerge from efficient coding. bit.ly/3VJHXRn

Created a starter pack of neuroscience in/from Paris.

Let me know if you want to be added (the 'from' can include those not in Paris anymore) or just tap in if you want to know what we're talking about!

Regardless, please re-tweet!

go.bsky.app/3Zs9w5w

Rayhan and I are presenting today our work on "Diffusion-State Guided Projected Gradient for Inverse Problems." at the D3S3 Workshop. Joint work with Dr. Anima Anandkumar #AInScience #NeurIPS2024 [1/6]

Paper: arxiv.org/abs/2410.03463

Eero Simoncelli on the geometry of the distribution of natural images

NeurReps has begun! Join us today for a program combining geometry/topology, deep learning, neuroscience, and interpretability

Our second Keynote speaker is @taliakonkle.bsky.social from Harvard University.

Come to hear about "The Cortical Topography of Visual Space Representation"!

Join us for our next Keynote invited talk from Stefanie Jegelka on "In-context Symmetries via Contextual World Models"!

Enigma's at NeurIPS - come find us. New jobs posted on our website for research scientists & engineers in multi-modal modeling & interpretability

enigmaproject.ai

Join us this Saturday @neuripsconf.bsky.social !

RSVP to New Theory Soft Launch! | Partiful Spun out of Berkeley/Redwood Center, New Theory is building new foundational models rooted in Geometric Deep Learning that break the scaling laws of transformer-based architectures, paving the way for...

Excited to talk with the community about what we've been working on! Co-founding @newtheory.ai with @colin-r-odonnell.bsky.social to build new foundational architectures for intelligence. Come join us at NeurIPS in Vancouver this week for our soft-launch event 🎊🥂 partiful.com/e/rgVdt2XkzZ...

To my Bluesky friends attending #NeurIPS2024:

Check out our poster: “Poisson Variational Autoencoder” (P-VAE)!

The P-VAE is a #generative model that encodes inputs into spike count variables and unifies major neuroscience theories with modern machine learning.

w/ Jacob Yates and Dekel Galor

🧠🤖🧠📈

Parallel development of social behavior in biological and artificial fish - Nature Communications The learning algorithms that produce social behavior are unknown. Here the authors show that artificial fish, modeled via embodied deep neural networks, learn the same social behaviors as real fish, s...

Another cool "digital twin" work from Wood’s lab

After the virtual chicks, this time:
"We embodied artificial neural networks in artificial fish and raised the artificial fish in virtual fish tanks that mimicked the rearing conditions of biological fish"

#NeuroAI

www.nature.com/articles/s41...

How do interneurons reshape neural responses? I'm excited to present work with @eerosim.bsky.social at #NeurIPS2024 that proposes a nonlinear recurrent circuit model motivated by efficient coding theory.

Poster: 4:30p on Fri, Dec 13
Paper: openreview.net/forum?id=ojL...

I'll be in Vancouver for the next week @neuripsconf.bsky.social. Who will I see there? Happy to chat about vision, comp neuro, equivariance, learning representations.

In case you share my interests, consider joining our workshop @neurreps.bsky.social on Dec 14th 🧠