Neuroscientist, in theory. Studying navigation and sleep in 🧠s and 💻s. Incoming Assistant Professor at Yale Neuroscience, Wu Tsai Institute.
Boston➡️Ithaca➡️NYC➡️Montréal
Joined June 2009
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Thrilled to announce I'll be starting my own neuro-theory lab, as an Assistant Professor at @YaleNeuro @WuTsaiYale this Fall!
My group will study offline learning in the sleeping brain: how neural activity self-organizes during sleep and the computations it performs. 🧵
Really enjoyed this conversation with @pgmid !
In this episode of @braininspired, @dlevenstein explains how internally generated brain activity during sleep shapes our cognition, and why NeuroAI is such a powerful approach to understanding our brains.
thetransmitter.org/brain-ins…
Yale Neuroscience is hiring another computational neuroscience position this year!
Please share with anyone who might be interested, and feel free to reach out if you have any questions about the position, or growing neuro-AI community at Yale/WTI!
The Department of Neuroscience at Yale is hiring faculty members. We have 2 searches: one general (deadline Oct 15), one focused on computational neuroscience (deadline Nov 30). Apply! apply.interfolio.com/190736 & apply.interfolio.com/190740
Super excited to be teaching a lecture on computational models of memory at this NSAS course this Fall. It's not too late to apply to join us in Venice!
Postdocs - come talk at Yale!
📢 Calling all senior neuro postdocs: SYNAPSES brings postdocs from around the world to Yale to share their work during an in-person symposium on October 22, 2026. Apply today! Deadline Sept 3. medicine.yale.edu/neuroscien…
ALT Symposia at Yale Neuroscience: Advanced PoStdoc Extramural Series call for applications flyer. Deadline Sept 3, 2026. Who: Senior postdocs from any area of neuroscience. What: A symposium for advanced postdoctoral research. Why: Present your research. Expand your network. Engage with the Yale Community.
Dan Levenstein retweeted
How do neural circuits in the brain implement normalization? 🧠
In our new paper, we show that just normalizing sensory input isn't enough. Crucially, we must also normalize the error signals! 🧵👇
Paper: arxiv.org/abs/2603.17676
With this one in print, I think I finally earned that PhD....
sciencedirect.com/science/ar…
So, #AcademicTwitter PIs, a few completely random questions for you:
What’s something you wish you had known/did when you started your own lab?
-or-
What’s something you did when you started your lab that worked out well?
Asking for a friend...
Does anyone else find it perpetually annoying that what most folks would consider neural "computation" is Marr's "algorithmic" level, while his *computational* level is really just "what's the goal of this thing anyway?" AKA function.
I know there exists a Far Side comic with a farmer teaching cows about physics, and the caption is something like "imagine a spherical cow". It seems to be impossible to find on the internet.
Does anyone happen to have or know where I can find an image of this comic? 😂
On that note, I'll be looking for postdocs, students, and likely a computational lab tech/lab manager or research software engineer. Please share, and if this kind of work (and the prospect of helping get a new lab off the ground) sounds interesting to you, please reach out!
At #Cosyne2025? Come by my poster today (47) to hear how sequential predictive learning produces a continuous neural manifold that can generate replay during sleep, and spatial representations that "sweep" ahead to future positions. All from sensory information + action!
Not at cosyne? Too busy? Most of this can be found in our preprint, except some new results that CA3-like (sparse, lognormal) connectivity produces an orthogonalized representation like @sunw37 showed in the hippocampus in his great talk yesterday.
nitter.cf/dlevenstein/status/178…
Happy to share a new preprint - the culmination of the past three years of postdoc with @tyrell_turing and @apeyrache, and my first real foray into #NeuroAI as a tool to study the sleeping brain:
biorxiv.org/content/10.1101/…
(1/🧵) c’est parti!
