Heading to #CCN26? Stop by and see what the Rajan Lab has been working on! Don't miss presentations from John Vastola, Satpreet Singh, and Nathan Wu. Drop by their sessions to chat about our ongoing projects and say hello to the team! @purpleantelope.bsky.social @satpreetsingh.bsky.social
Satpreet (Sat) Singh
@satpreetsingh.bsky.social
Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet
How do you "see" with electric eyes? How does collective behavior emerge from individual interactions? Nocturnal weakly electric fish evolved to do this, but studying naturalistic social behavior is very hard. Our solution? Virtual 'fish' 🤖🐟⚡ 📄 arxiv.org/abs/2511.08436
In the latest entry of Frameshift, our series about alternative careers in neuroscience, Soha Ashrafi, executive director of research at Harvard Medical School, shares how supporting a department full of neuroscientists brings her “scientific joy.” www.thetransmitter.org/frameshift/m...
Making an impact through academic administration
As executive director of research at Harvard Medical School, Soha Ashrafi supports more than 300 scientists, students and staff members.
thetransmitter.org
In a new @cp-neuron.bsky.social article, members of the Simons Collaboration on Ecological Neuroscience (SCENE) outline their plans to investigate how the brain links perception, cognition and action by encoding environmental affordances: https://bit.ly/49YfgaE
The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the world
The Simons Collaboration on Ecological Neuroscience (SCENE) seeks to uncover general principles of brain function through an ecological perspective: studying perception, cognition, and action in the c...
cell.com
1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇
Perceptual multistability: a multifaceted window into brain dysfunctions
Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...
cell.com
Online Now: Perceptual multistability: a multifaceted window into brain dysfunctions
Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.
Neural timescales from a computational perspective - Nature Neuroscience
This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...
nature.com
new paper, #NeuroAI 📣📜 Can measured cortical organization be used as an inductive bias for artificial recurrent neural networks? In this work, we ask whether cortical geometry, wiring, and function can push RNNs learn. Not as metaphor, but as measurable structure! 1/n🧵👇 arxiv.org/abs/2606.14975
Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
How the wiring and functional organization of cortex shape recurrent computation remains a central question in both neuroscience and machine learning. Here, we leverage data released through the Machi...
arxiv.org
Now published - the #BANC! A full central nervous system (CNS) connectome of a limbed animal at single-synapse resolution, enabling us to follow sensory-motor arcs and understand how the CNS controls the body. rdcu.be/fncjS. #neuroscience. Video by @quorumetrix.bsky.social 1/18
Excited to share our new paper "Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity" direct.mit.edu/opmi/article... @rplevy.bsky.social And looking forward to speaking about this line of work tomorrow at @nyudatascience.bsky.social!
Towards Human-Like Emergent Communication via Utility, Informativeness, and Complexity
Abstract. Two prominent, yet contrasting, theoretical views are available to characterize the underlying drivers of language evolution: on the one hand, task-specific utility maximization; on the othe...
direct.mit.edu
We tracked mice in space! This video shows our estimate of their self-induced centripetal force during circling in 3D 👩🚀 Preprint thread below 👇
1/ New preprint! 🧪With @talmo.bsky.social and team, we used deep learning on archival NASA video of mice on the ISS. Turns out mice in microgravity become tiny acrobats: huddling to sleep, doing backflips, even briefly generating their own ~1g. #SpaceBiology #OpenScience #NASA #SLEAP
New preprint out 🚨 “Predictive pursuit emerges in high-dimensional recurrent neural networks”! This was an awesome collaboration with co-first author @fatihdinc.bsky.social , @andyalexander.bsky.social, @xiaoxiao-lin.bsky.social, and May Chen biorxiv.org/content/10.6... 1/
biorxiv.org
[ #ICLR2026 ] How do we know if two systems are performing the same computation when they are constantly driven by different external inputs? 🧠🤖 I’ll be presenting our novel method InputDSA tomorrow April 23 (2:15pm-4:45pm EDT in Pavilion 3 P3-#1614)📍 Come swing by our poster! I’d love to chat!
✍️ In the @kempnerinstitute.bsky.social blog: our new tool built to compare the dynamics of complex systems when both internal circuitry and external inputs shape their behavior. Catch @annhuang42.bsky.social presenting this work at #ICLR! kempnerinstitute.harvard.edu/research/dee...
✍️ In the @kempnerinstitute.bsky.social blog: our new tool built to compare the dynamics of complex systems when both internal circuitry and external inputs shape their behavior. Catch @annhuang42.bsky.social presenting this work at #ICLR! kempnerinstitute.harvard.edu/research/dee...
InputDSA: Demixing then comparing recurrent and externally driven dynamics in complex systems - Kempner Institute
We explored how to measure the similarity between two complex systems when they are driven by external inputs, like biological neural circuits or reinforcement learning agents. Our novel method, calle...
kempnerinstitute.harvard.edu
Still hiring for PhD candidates who are *specifically* excited in building and deploying RL systems for self-driving vehicles and other multi-agent planning settings. Shoot me an email if you think this is you and please help spread the word!
We have the keynote speakers for RLC2026 now! Thrilled to welcome Rika Antonova, Sheila McIlraith, Marc G. Bellemare, Danijar Hafner, Balaraman Ravindran! Details: rl-conference.cc/index.html The RL community is coming together this August in Montréal, Québec, Canada. Hope you make it!
RLC 2026
rl-conference.cc
Talk recordings from our CoSyNe 2026 workshop on Agent-based Models in Neuroscience are now online! Playlist: www.youtube.com/playlist?lis... RL agents and theory, interoception, biomechanical models connectome-constrained models, and more. #CoSyNe #NeuroAI #CompNeuro #RL #EmbodiedAI
CoSyNe 2026 Agents in Neuroscience Workshop - YouTube
https://neuro-agent-models.github.io/
youtube.com
📣 Excited to announce the 2nd edition of our workshop “Agent-Based Models in Neuroscience: Theory, Autonomy, Embodiment & Environment” at @cosynemeeting.bsky.social #CoSyNe2026!! 🧠🤖🌍🪰🐟🐭💪🧘🏃 🗓️ March 17, 2026 📍 Cascais, Portugal 🔗 Speaker lineup and schedule: neuro-agent-models.github.io
My memory sucks. Note-taking is my superpower. I decided to upgrade this superpower by making a living knowledge base for research, powered by Claude Code (or any context agent). Here's a github template so you can do the same too. 🧵 github.com/ilennaj/obsidian-scientist-knowledge-template
GitHub - ilennaj/obsidian-scientist-knowledge-template: Template for keeping a living scientific knowledge database using obsidian and claude code.
Template for keeping a living scientific knowledge database using obsidian and claude code. - ilennaj/obsidian-scientist-knowledge-template
github.com
Steve is an engineering VP at Microsoft and I find a similar pattern is showing up for product managers. I see lots of PMs who were already good now multiplying their impact with AI while weaker PMs are now using AI to generate work slop which is a waste of everyone’s time.
🧠💪🤖 Check out our new review article on how neuromechanical "digital twins" are used to study the neuroscience of embodied control, and how they may contribute to future #NeuroAI! arxiv.org/abs/2601.08056
🧠🤖 Are you at #COSYNE2026? Check out the #KempnerInstitute's presentations! 👇 #neuroscience #NeuroAI
Don't miss @maxschwabe.bsky.social's poster this evening (our master's student and presenter awardee 🎉) on decomposing RNN dynamics during naturalistic decision-making! It was a joint work with @armanbehrad.bsky.social and @roxana-zeraati.bsky.social!
1-031, Poster session 1 (Thu, Mar. 12, 20:30): @maxschwabe.bsky.social (a Cosyne presenter awardee 🎉, a MASTER student) will present how decomposing neural dynamics to intrinsic and input-driven modes can tell us how naturalistic decision computations are realized in the RNNs.
📍 #Cosyne26 bound? Thrilled to have PhD students @annhuang42.bsky.social and Sonja Johnson-Yu representing the Rajan Lab this year. Shout out to co-first authors @satpreetsingh.bsky.social and @neurostrow.bsky.social. Catch their sessions to learn about our newest work 🧠🤖 #NeuroAI #CompSci
Looking at the program again 👀 I can't wait for this! Stoked to contribute a talk on ✨the interoceptive basis of reinforcement learning✨
📣 Excited to announce the 2nd edition of our workshop “Agent-Based Models in Neuroscience: Theory, Autonomy, Embodiment & Environment” at @cosynemeeting.bsky.social #CoSyNe2026!! 🧠🤖🌍🪰🐟🐭💪🧘🏃 🗓️ March 17, 2026 📍 Cascais, Portugal 🔗 Speaker lineup and schedule: neuro-agent-models.github.io
Meet Satpreet (Sat) Singh on #HumansofHBI brain.harvard.edu/hbi_humans/s...
Humans of HBI - Satpreet (Sat) Singh
I build "virtual model organisms” with artificial bodies and artificial brains that are trained to behave like real model organisms, such as insects and fish, in simulated worlds.
brain.harvard.edu
📣 Excited to announce the 2nd edition of our workshop “Agent-Based Models in Neuroscience: Theory, Autonomy, Embodiment & Environment” at @cosynemeeting.bsky.social #CoSyNe2026!! 🧠🤖🌍🪰🐟🐭💪🧘🏃 🗓️ March 17, 2026 📍 Cascais, Portugal 🔗 Speaker lineup and schedule: neuro-agent-models.github.io
🤖 Agent-Based Models in Neuroscience
neuro-agent-models.github.io
On negative social ties. The number of "hasslers" in your life—people who create problems or make life difficult, especially family members (not spouse)—and the link to promoting accelerated aging, inflammation, and adverse health outcomes @pnas.org pnas.org/doi/full/10....
🤖📊 NEW in the Deeper Learning blog: @annhuang42.bsky.social & @kanakarajanphd.bsky.social break down their recent work examining how #RNNs solve the same task in different ways, and why that matters. Joint work with @satpreetsingh.bsky.social & @flavioh.bsky.social bit.ly/4kj4fVd #NeuroAI
Measuring and Controlling Solution Degeneracy Across Task-Trained Recurrent Neural Networks - Kempner Institute
Despite reaching equal performance success when trained on the same task, artificial neural networks can develop dramatically different internal solutions, much like different students solving the sam...
bit.ly
What if you could train agents on a 𝗱𝗲𝗰𝗮𝗱𝗲 of driving experience in 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, on a single GPU? Excited to share 𝙋𝙪𝙛𝙛𝙚𝙧𝘿𝙧𝙞𝙫𝙚 2.0: A fast, friendly driving simulator with RL training via PufferLib at 𝟯𝟬𝟬𝗞 𝘀𝘁𝗲𝗽𝘀/𝘀𝗲𝗰 🐡 + 🚗 youtu.be/LfQ324R-cbE?...
PufferDrive 2.0 release
YouTube video by Daphne Cornelisse
youtu.be