The only thing I love more than neuroscience is... teaching neuroscience. Here's a video series of my undergrad “Intro to Neuro” class. Adding new topics regularly. Check them out! youtube.com/playlist?list=…

New preprint out! 💃 where we show that low-D neural subspaces are not all there is in large-scale neural data. How can we capture other types of computationally relevant structure? With Arthur Pellegrino & Alex Cayco-Gajic. biorxiv.org/content/10.110… 1/n

Thrilled to have WenXi's thesis work out in the world! Over the past few years, WenXi has made some cool discoveries about how the brain learns to predict the consequence of an action. 1/9 biorxiv.org/content/10.110…

Want to flexibly manipulate many cortical regions, but don't know how to build a random access optogenetics system? We present Zapit: an #opensource hardware and user-friendly software system to make this technology more widely available. Our preprint: doi.org/10.1101/2024.0…

1/7 For the past decade, our team at Meta Reality Labs (previously CTRL-labs) has been dedicated to developing a neuromotor interface. Our goal is to address the Human Computer Interaction challenge of providing effortless, intuitive, and efficient input to computers.

The Kilosort4 paper is now published Nature Methods. We put a lot of work into building and properly documenting all things Kilosort (including for older versions). w/ Carsen Stringer @[email protected] #kilosort paper: nature.com/articles/s4159… code: github.com/MouseLand/Kilo…

🚨 neoSSL: Our story on how information flow in neocortical layers is perfectly placed for self-supervised learning (SSL) is now on bioRxiv doi.org/10.1101/2024.0… 🧵 (1/6)

Happy to share a new preprint - the culmination of the past three years of postdoc with Blake Richards and Adrien Peyrache 🪐😴⚡️, and my first real foray into #NeuroAI as a tool to study the sleeping brain: biorxiv.org/content/10.110… (1/🧵) c’est parti!

New paper! We break down "mixed selectivity" and discuss why smart brains need it. Thanks to my colleagues Kay M Tye PhD Stefano Fusi Matti 🧠 Marcus Benna and @felixtaschbach Mixed selectivity: Cellular computations for complexity doi.org/10.1016/j.neur…

📜Out now Nature Communications !😊 We show that what you learn & how you learn it can lead to important differences in neural activity structure + these differences play an important role in later adaptation nature.com/articles/s4146… w/ Matt Perich Lee E Miller Juan Álvaro Gallego ClopathLab 🧵

How does sensorimotor (S1/M1) cortex support adaptive motor control?  Come find out in our latest preprint, which spans the development of a full adult forelimb model + physics simulations, neural-modeling for control, complex 🐭behavior 🕹️, large-scale imaging, and of course

Beyond grateful to share two co-first author papers that came out in nature!! With Amit Vinograd, we provide causal evidence for a line attractor in the mammalian brain! And with Mengyu Liu 刘孟宇, we show that line attractors might be a common mechanism for emotions beyond anger!

Thrilled to share the first preprint from the lab! We find that mouse V1 contains a three-dimensional map of visual space with different populations of neurons responding to near and far visual cues! Led by Yiran He with Antonio Colás Nieto and Antonin Blot. biorxiv.org/content/10.110… 1/n

🧵on Japan's underrated contributions to neural nets. Shun-ichi Amari UTokyo | 東京大学 RIKEN is another one of my heroes. His 1972 paper on associative memory models modeled Hebbian plasticity using an outer product weight matrix.

It's not a manifold unless it comes from the Manîfold region of France – otherwise it's just sparkling PCA.

No, AI Has Not Killed Marr's Three Levels, It’s Merely Maimed Them (Consider me triggered. 😂🤣) The rapid advancement of artificial intelligence, particularly in neural networks and deep learning, has led some to question the relevance of classical frameworks like David Marr's

I am happy to announce that the first draft of my RL tutorial is now available. arxiv.org/abs/2412.05265

Can the motor system use sensory expectations to prepare for unexpected events? Excited to share my latest work with Andrew Pruszynski – where we establish that sensory expectations shape neural population dynamics in motor circuits! 🧵 and paper below 1/

Sensory inputs trigger a fast-traveling wave, followed by a slower wave carrying top-down info (value/choice). The late wave reactivates ensembles in superficial cortical layers. Very cool science.org/doi/full/10.11… #neuroscience

Are you using GCaMP8 or planning to switch from GCaMP6? Then check out this new preprint from our lab! biorxiv.org/content/10.110… - Calcium imaging - GCaMP8 vs. GCaMP6 - Spike inference - Imaging + ephys ground truth With F. Helmchen, K. Svoboda karel svoboda, M. Rozsa & X. Fang.