Chris Versteeg
@chris_versteeg
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Post-doc studying interpretable dynamics under Dr. Chethan Pandarinath at Emory. Somatosensation is important. Thanks for coming to my TED Talk.
Emory University
Joined June 2017
Ever wondered whether the dynamics learned by LFADS-like models could help us understand neural computation? @chethan,@arsedle, @JonathanDMcCart, and I developed ODIN to robustly recover latent dynamical features through the power of injectivity! 📜 1/ https://t.co/dovP0LxVNt
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Coming March 17, 2026! Just got my advance copy of Emergence — a memoir about growing up in group homes and somehow ending up in neuroscience and AI. It’s personal, it’s scientific, and it’s been a wild thing to write. Grateful and excited to share it soon.
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My brain shorted out for a moment before I read the quoted tweet...
Check out my new paper, where we decode the dynamics of the manifold from high dimensional activity using machine learning and find a mechanism for encoding attractors
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How continuous neural activity learns and supports discrete, symbolic & compositional processes remains an important question for Cog Sci and AI. Here we explore ways to achieve both symbolic and sub-symbolic processing using attractor dynamics.
arxiv.org
Symbolic systems are powerful frameworks for modeling cognitive processes as they encapsulate the rules and relationships fundamental to many aspects of human reasoning and behavior. Central to...
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Want recordings like this? Come get some Myomatrix arrays at Sfn!
Classic motor unit spike of the day (SOTD): Rat triceps recorded with Myomatrix EMG arrays during locomotion. Want to collect single-unit EMG in freely behaving animals (and people)? At #SfN2024?: Visit us at Booth 1869 Request devices: https://t.co/xyEy9bQDLH
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I’ll see if it can replicate
My experiment for today is to figure out how much coffee one human can feasibly drink
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@SergeyStavisky we're like the NEJM of publicly shared lab reading lists after all
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Check out GNOCCHI! - Diffusion modeling of neural data: ✅ - Interpretable latent spaces: ✅ - Heldout data generation: ✅ - Named after a delicious pasta: ✅
Modern neuroscientists routinely record the complex, goal-oriented, and time-varying activity of thousands of neurons. Can we find representations of neural activity that 1) are human-interpretable and 2) enable the generation of neural activity for unrecorded behavioral
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MotorNet is an amazing toolbox that everyone interested in musculoskeletal modeling should check out! Thanks to @JonAMichaels and @OlivierCodol for their hard work🦾🦾🧠🧠
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1/5 Excited to finally share our new paper (led by @lndriscoll, now a group leader at the Allen!) in @NatureNeuro on modular computation in neural networks! We've explored how artificial recurrent networks handle multiple tasks, offering insights into flexible computation.
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What underlies the spinal cord’s intrinsic ability to adjust locomotor patterns on a step-by-step basis? We investigated this question in our new preprint! Follow along in the thread for the #tweeprint!
Spinal interneuron population dynamics underlying flexible pattern generation https://t.co/xmxbhVt1mq
#biorxiv_neursci
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How can we understand the way sequence models choose to combine info in their context to make good predictions? In our new @icmlconf workshop paper, @adamjeisen , @FieteGroup and I provide a new theoretical lens from dynamical systems: delay embeddings https://t.co/0oIOJ8LYwf
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Amazing work from our friends at EPFL! A huge step towards a deeper understanding of the "goals" of proprioceptive processing, a question that kept me up at night!
What is the integrative logic of proprioception? Sensory information is collected in muscle spindles distributed in the body, but how is the information integrated. We took a computational approach to this problem...
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Thrilled to share that my PhD advisor, Larry Abbott, and pioneers Terry Sejnowski @sejnowski & Haim Sompolinsky @HSompolinsky clinched the prestigious Brain Prize for their groundbreaking work in computational and theoretical neuroscience. 🤘🤓🤘 This honor is a watershed
Larry Abbott, @sejnowski and @HSompolinsky split $1.45 million in recognition of their decades of work uncovering principles of brain structure and function. By @GinaRivers90
https://t.co/cZLTIy4mCH
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Hi there, Lisbon 👋🏽 Next week, I’m presenting work from the lab in 2 #COSYNE2024 workshops with @EngelTatiana, @aldo_battista, @soowmwayne, @chethan @chris_versteeg & others to discuss exciting new findings. Want to get involved?👇🏽(1/2)
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Bom dia @CosyneMeeting Day1🤩 Thrilled to guide you through #Cosyne24! Come say 👋 Especially come say hello if you want to chat time series foundation models, generalizability, and getting the most out of your data 👏for👏all👏tasks👏 Here's a taste😉 https://t.co/iPyaElMSsx
Tokenization (aka the root of suffering, iykyk) has gotten a terrible rap this past week😅 but in nascent fields this rap is wack🌶️ I am ecstatic to share➡️TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis TOTEM learns discrete time tokens (not patches!!)
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We've got an amazing line up of speakers and the release of our new Computation-Thru-Dynamics Benchmark! Don't miss it! @SussilloDavid @FieteGroup @KanakaRajanPhD @neurostrow @EngelTatiana @ostojic_srdjan (+ help from @scott_linderman @lndriscoll @OlivierCodol + others!)
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Cosyne Workshop Alert! On Tuesday March 5th, @chethan and I are proud to bring you: Understanding Neural Computation using Task-trained and Data-trained Networks. https://t.co/eVOVeIRMfy
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Having talked a lot with Jonathan in the past couple years, this is a rocket ship to the forefront of the field. Get on it!
I'm looking for a postdoc interested in using brain-computer interfaces to study motor control using Neuropixels 🦾🧠. Get in touch! @ConnectedMinds3 funding opportunity:
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Super proud of PhD students @a_marinvargas and @chiappa_alberto for winning this challenge!! @chiappa_alberto already won it last year.
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