👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human! TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration. www.biorxiv.org/content/10.1...

Bet: this flavor of same-stimulus, same-task, compare-behavior, compare-physiology is the future of model testing and theory development in neuroscience.

🚨Our NeurIPS 2025 competition Mouse vs. AI is LIVE! We combine a visual navigation task + large-scale mouse neural data to test what makes visual RL agents robust and brain-like. Top teams: featured at NeurIPS + co-author our summary paper. Join the challenge! Whitepaper: arxiv.org/abs/2509.14446

Can your AI beat a mouse? Mice still outperform our best computing machines in some ways. One way is robust visual processing. 10 years ago I decided to work on HARD behavior driven by COMPLEX visual processing. And that risk is paying off now. #neuroAI 1/n

Here is your last reminder that the application deadline for Imbizo.Africa is nearing quickly, the 1st of July, in fact tomorrow. Still the place where diversity is at its best in the world! Tell all who need to hear. #africa #neuro

Now out in @natcomms.nature.com‬: Mice and monkeys spontaneously shift through comparable cognitive states - and it's written all over their faces! (1/7) www.nature.com/articles/s41...

A Brief History of Young People Today Don't Want to Work 🧵

Highly recommended for all neuroscientists who want to learn more about computational neuroscience in a supportive community!

Re-posting is appreciated: We have a fully funded PhD position in CMC lab @cmc-lab.bsky.social (at @tudresden_de). You can use forms.gle/qiAv5NZ871kv... to send your application and find more information. Deadline is April 30. Find more about CMC lab: cmclab.org and email me if you have questions.

Top-down feedback is ubiquitous in the brain and computationally distinct, but rarely modeled in deep neural networks. What happens when a DNN has biologically-inspired top-down feedback? 🧠📈 Our new paper explores this: elifesciences.org/reviewed-pre...

Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable www.sciencedirect.com/science/arti... Great work by Boris Sotomayor and with @battaglialab.bsky.social

Excited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.

Excited for the poster session at #Cosyne tonight! Come check out the two posters I am involved in—one on neural representations and generalization in mice & RL agents trained on the same foraging task, and another on selective attention in spiking networks.

Coming to the #Cosyne2025 workshops? Wanna dance on the final night? We got you covered. @glajoie.bsky.social and I have organized a party in Tremblant. Come and get on the dance floor y'all. 🕺 April 1st 10PM-3AM Location: Le P'tit Caribou DJs Mat Moebius, Xanarelle, and Prosocial Please share!

🧵 time! 1/15 Why are CNNs so good at predicting neural responses in the primate visual system? Is it their design (architecture) or learning (training)? And does this change along the visual hierarchy? 🧠🤖 🧠📈

Why academia is sleepwalking into self-destruction. My editorial @brain1878.bsky.social If you agree with the sentiments please repost. It's important for all our sakes to stop the madness academic.oup.com/brain/articl...

Happy to see this study led by Irene Onorato finally out - we show distinct phase locking and spike timing of optotagged PV cells and Sst interneuron subtypes during gamma oscillations in mouse visual cortex, suggesting an update to the classic PING model www.sciencedirect.com/science/arti...

🚨Preprint Alert New work with @martinavinck.bsky.social We elucidate the architectural bias that enables CNNs to predict early visual cortex responses in macaques and humans even without optimization of convolutional kernels. 🧠🤖 🧠📈

Spiros Chavlis and I are very excited to share our latest #dendritic ANN research published in Nature Comms. @natureportfolio.bsky.social. We show that adopting the structure and sparse sampling features of biological #dendrites makes ANNs accurate, highly efficient and robust to overfitting.

It’s shocking how much they’ve all decided to bow down and kiss the ring. Certainly, it has made it clear that if things get really bad, they will do nothing other than protect their own financial interests.

What's the right way to think about modularity in the brain? This devilish 😈 question is a big part of my research now, and it started with this paper with @solarpunkgabs.bsky.social, finally published after the first preprint in 2021! 🤖🧠🧪 www.nature.com/articles/s41...

... and so it begins again.🧠🌴🌊🌍 Imbizo.africa is on its way, ... without me 😥, but look! at the views through those windows. I wanna go and learn about all things neuro at one of the most beautiful spots in the world. Don't you, too?

Imagine the whole world looking this. It is actually pretty easy to improve our lives, no need for new tech magic or some mars migration BS: just abolish cars from city centres

Behold, our first #Neuroskyence thread! :) About one of our favourite questions: As a neuroscientist, should you average across trials to get pretty things like receptive fields and population vectors? Or should you resist the urge?

New paper where Mel Andrews, Andrew Smart, and I outline how machine learning is laundering long discredited harmful pseudoscience and offer resources for research best practices to developers/practitioners www.cell.com/patterns/ful...