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Hari Kalidindi

@harikalidindi.bsky.social
589 followers 1.3K following 66 posts

Research Fellow, Sensorimotor & Computational Neuroscience Donders Institute, Netherlands | Studying how brain produces movements

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Hari Kalidindi @harikalidindi.bsky.social · 25/06/2026
Congrats Dominika!
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Hari Kalidindi @harikalidindi.bsky.social · 12/06/2026
Happy to see our article included in #JNeurosci featured research!
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Hari Kalidindi @harikalidindi.bsky.social · 07/06/2026
open.substack.com/pub/davidoks...
open.substack.com
Why China got rich and India didn't
The human roots of the Sino-Indian divergence
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Gautam Kamath @gautamkamath.com · 28/05/2026
In the last 48h: - Jr researcher asked me wheter to use AI in making talks - Saw two talks, with AI {slop, enhanced} slides Collected my thoughts and wrote a post. Tl;dr: don't steal your own thinking, don't remove *you* from your talks. Also, give a &#@% about your talks.
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Hari Kalidindi @harikalidindi.bsky.social · 27/05/2026
📢📢 Multiple control strategies influencing goal-directed arm reaching in dynamic environments. I am happy to share this early release article with @fredcrevecoeur.bsky.social in @sfnjournals.bsky.social #JNeurosci
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CosmicRami 🏳️‍🌈🏳️‍⚧️ @rami.spaceaustralia.com · 07/05/2026
💙💙💙
youtu.be
Sir David Attenborough 'overwhelmed' by 100th birthday greetings – audio
YouTube video by Guardian News
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Antoine De Comite @antoinecomite.bsky.social · 04/05/2026
In our new study in Neural Computation, we demonstrate how the modulation of movement duration can emerge as a natural property of task-dependent control policies within an infinite horizon framework, rather than requiring a priori specification. Full story ➡️ direct.mit.edu/neco/article...
direct.mit.edu
Infinite Horizon Control With Nonlinear Dynamics Models Reproduces Temporal Modulation of Reaching Movements
Abstract. Movement duration, a fundamental aspect of motor control, is often viewed as a preprogrammed parameter requiring dedicated selection mechanisms. An alternative view posits that movement dura...
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Hari Kalidindi @harikalidindi.bsky.social · 30/04/2026
What stands out to me in this paper is the emphasis on good old engineering and modeling compared to the current trend of throwing transformers/data at every robotic problem!
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Ale Santuz @alesantuz.bsky.social · 30/04/2026
www.nature.com/articles/d41...
nature.com
This robot can beat you at table tennis
The AI-powered arm learnt the sport from scratch and can now beat top players.
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David G. Clark @david-g-clark.bsky.social · 28/04/2026
New preprint: "Linear equivalence of nonlinear recurrent neural networks." For large nonlinear (potentially chaotic) RNNs with random connectivity, the full N×N covariance matrix takes the same form as that of a ~linear~ network with the same couplings, driven by independent noise.
arxiv.org
Linear equivalence of nonlinear recurrent neural networks
Large nonlinear recurrent neural networks with random couplings generate high-dimensional, potentially chaotic activity whose structure is of interest in neuroscience, machine learning, ecology, and o...
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Kanaka Rajan @kanakarajanphd.bsky.social · 22/04/2026
✍️ 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...
kempnerinstitute.harvard.edu
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...
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JJ @jjodx.eurosky.social · 19/04/2026
Task demands shift motor learning from adaptation to feedback control in a naturalistic bimanual task www.biorxiv.org/content/10.1...
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Marieke van Vugt @mvugt.bsky.social · 17/04/2026
"Science is often slow, repetitive, and unpredictable, but engaging with it from a different angle can restore perspective and motivation. For me, stepping outside the lab did not take me away from science. It helped me rediscover why I cared about it" www.science.org/content/arti...
science.org
Science | AAAS
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Grace Lindsay @neurograce.bsky.social · 12/04/2026
New preprint from my lab! We study how reinforcement learning & selective attention interact. To do so, we built a set of models describing different ways that value & reward prediction error can modulate top-down attention. We compare model outcomes to monkey data from a color value learning task
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Fred Crevecoeur @fredcrevecoeur.bsky.social · 10/04/2026
➡️ Robust control (reject "unmodelled" disturbances), ➡️ Online adaptive control, ➡️ Trial-by-trial adaptation. These components are separable behaviourally and reveal individual traits characterising how we handle external disturbances...
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Hari Kalidindi @harikalidindi.bsky.social · 10/04/2026
Very happy to put this work out! Movement errors are reduced even in unpredictable environments, where anticipation is not possible. We addressed the complex processes interacting within an ongoing action to achieve this...
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Sean Escola @seanescola.bsky.social · 01/04/2026
PL Neuro is officially live! plneuro.xyz We exist to break bottlenecks, accelerate progress in neurotech & NeuroAI, and to invest in innovations that benefit humanity. PL Neuro will focus on 3 core areas: - Neural augmentation - Biologically-inspired intelligence - Whole brain emulation
plneuro.xyz
Homepage — PL Neuro
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Alejandro Fábregas-Tejeda @alejandrofabregastejeda.com · 24/03/2026
#philsky #philsci #booksky #evosky #histsci #AcademicSky #BNPreorder
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Nicolas Meirhaeghe @nmrghe.bsky.social · 28/01/2026
Very late to the show on Bluesky but finally found time to join! And I’ll start with some belated news 🎉 I have officially started my own research group as a CNRS researcher at the Institut de Neurosciences de la Timone in Marseille 🎉
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Hari Kalidindi @harikalidindi.bsky.social · 13/03/2026
(2/2) This is consistent with our random network results, that random connectivities within same architecture produce similar dynamics, if the task and fb control is preserved. From Fig. 6 it looks like when the architecture itself changes, then the dynamics vary more. Thanks for pointing to this!
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Hari Kalidindi @harikalidindi.bsky.social · 13/03/2026
(1/2)Very interesting and elaborate results! If I'm reading Fig. 6 correctly, same-type networks yield similar behavioral corr's, with dynamical distances showing slightly more variance within a given architecture...
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Matt Perich @mattperich.bsky.social · 13/03/2026
Thanks! It's always a concern, but here we have some extremely different ask structures actually, e.g., our human participant moving objects across a table in trials order of ~ 10s, compared to mice lever pulling in trials order of ~ 100ms. Which makes me think there's more to it than that
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Athena Akrami @athenaakrami.bsky.social · 11/03/2026
Very happy to share our review on Reinforcement Learning vs Statistical Learning, with @ambrafer.bsky.social and @predictivebrain.bsky.social: www.sciencedirect.com/science/arti... A nice summary: www.sainsburywellcome.org/blog/two-eng...
sciencedirect.com
Where learning paths meet: Convergence and divergence of statistical and reinforcement learning
Learning enables organisms to adapt to a dynamic world by forming and updating internal representations of their environment. Statistical Learning (SL…
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Hari Kalidindi @harikalidindi.bsky.social · 10/03/2026
To elaborate: multiple random networks under opt. fb. ctrl with a fixed cost (task) produce similar neural dynamics. Changes in the cost led to differences. We thought what may be conserved is the fb ctrl & task structure rather than specific circuit connectivity. Eager to read the paper in detail!
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Hari Kalidindi @harikalidindi.bsky.social · 10/03/2026
Nice work, congratulations! In a recent model we found that similar neural dynamics may be due to similar task structure independent of network connectivity (supp. Figure). Could a simpler explanation be that all animals experienced essentially the same task structure? www.cell.com/cell-reports...
cell.com
Feedback control of random networks as a model of flexible motor cortical dynamics across tasks
Kalidindi and Crevecoeur develop a computational framework linking feedback-controlled networks to limb dynamics. They demonstrate that optimal control of fixed network reproduces key motor cortical d...
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Hari Kalidindi @harikalidindi.bsky.social · 13/02/2026
Thanks Kevin!
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joshcashaback.bsky.social @joshcashaback.bsky.social · 13/02/2026
Favourite paper I have read this year. Check it out! Great work @harikalidindi.bsky.social and @fredcrevecoeur.bsky.social!
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Harrison Ritz @hritz.bsky.social · 13/02/2026
awesome paper bridging the gap between RNN and optimal control models of motor control
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Hari Kalidindi @harikalidindi.bsky.social · 13/02/2026
Enjoyed a lot doing this work with @fredcrevecoeur.bsky.social throughout! Glad it's finally out 🎉🎉🎉 Here is the accompanying code for implementing: github.com/neurohari/si...
github.com
GitHub - neurohari/simulateLQRNetworks: code associated with the article "Feedback control of random networks as a model of motor cortical dynamics across tasks"
code associated with the article "Feedback control of random networks as a model of motor cortical dynamics across tasks" - neurohari/simulateLQRNetworks
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The Transmitter @thetransmitter.bsky.social · 22/12/2025
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs, writes @marcusghosh.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...
thetransmitter.org
Not playing around: Why neuroscience needs toy models
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs.
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Jonathan A. Michaels @jonathanamichaels.bsky.social · 12/12/2025
Now published in the Journal of Neurophysiology: journals.physiology.org/doi/full/10.... Get in touch if you think this tool could help in your science! We will be developing improvements and extensions over the next year.
journals.physiology.org
ATHENA: automatically tracking hands expertly with no annotations | Journal of Neurophysiology | American Physiological Society
Studying naturalistic hand behaviors is challenging due to the limitations of conventional marker-based motion capture, which can be costly, time-consuming, and encumber participants. Although markerl...
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Blake Richards @tyrellturing.bsky.social · 03/12/2025
1/ Why does RL struggle with social dilemmas? How can we ensure that AI learns to cooperate rather than compete? Introducing our new framework: MUPI (Embedded Universal Predictive Intelligence) which provides a theoretical basis for new cooperative solutions in RL. Preprint🧵👇 (Paper link below.)
Image of robots struggling with a social dilemma.
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Grace Lindsay @neurograce.bsky.social · 03/12/2025
Good piece by @kohitij.bsky.social on why neuroscientists use an "outdated" vision model. Neuroscience is different than AI and that's ok! medium.com/@kohitij_716...
medium.com
Why AlexNet Died in AI but Lingers in Neuroscience — Through the Lens of Popper and Kuhn
When I talk to any of my machine learning researcher colleagues in 2025, they tell me that a model from 2023 is prehistoric. In AI, a year…
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Hari Kalidindi @harikalidindi.bsky.social · 03/12/2025
Very interesting work!
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jason-z-kim.bsky.social @jason-z-kim.bsky.social · 02/12/2025
The brain computes by processing information over time through interactions between connectivity and dynamics that are hard to model. Here we infer these interactions from data and find they better predict cognitive performance! www.nature.com/articles/s41... w/ @lindenmp.bsky.social
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Andrew Pruszynski @andpru.bsky.social · 02/12/2025
Join us for Fall 2026. In our group, you can run studies from human behavior and neuroimaging, to large-scale NHP ephys, and join them up with a robust computational foundation. Bonus: you can help build the reading list.
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Hari Kalidindi @harikalidindi.bsky.social · 03/12/2025
European universities leading the way
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Tim Behrens @behrenstimb.bsky.social · 03/12/2025
Thread of French and Dutch research institutes slowly unsubscribing from web of science (and thence impact factors).
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Ulises Pereira-Obilinovic @ulisespereirao.bsky.social · 02/12/2025
0/10 Thanks for the interest in our preprint. Some takes say it negates or fully supports the “manifold hypothesis”, neither quite right. Our results show that if you only focus on the manifold capturing most of task-related variance, you could miss important dynamics that actually drive behavior.
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Konrad Kording @kordinglab.bsky.social · 02/12/2025
How I contributed to rejecting one of my favorite papers of all times, Yes, I teach it to students daily, and refer to it in lots of papers. Sorry. open.substack.com/pub/kording/...
open.substack.com
How I contributed to rejecting one of my favorite papers of all time
I believe we should talk about the mistakes we make.
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DurstewitzLab @durstewitzlab.bsky.social · 29/11/2025
Unlike current AI systems, animals can quickly and flexibly adapt to changing environments. This is the topic of our new perspective in Nature MI (rdcu.be/eSeif), where we relate dynamical and plasticity mechanisms in the brain to in-context and continual learning in AI. #NeuroAI
rdcu.be
What neuroscience can tell AI about learning in continuously changing environments
Nature Machine Intelligence - Durstewitz et al. explore what artificial intelligence can learn from the brain’s ability to adjust quickly to changing environments. By linking neuroscience...
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arminpanjehpour.bsky.social @arminpanjehpour.bsky.social · 13/11/2025
0/7 Excited to 📢 that our (@mkashefi.bsky.social @diedrichsenjorn.bsky.social @andpru.bsky.social) new preprint on sequence preparation and its effect on reaction time is now up: www.biorxiv.org/content/10.1... Please get in touch if there is anything you'd like to discuss! Brief summary 🧵👇
biorxiv.org
Sequence preparation is not always associated with a reaction time cost
The extent to which a sequence of movements is prepared before initiating the first movement is a longstanding question in motor neuroscience. The observation that reaction time (RT) increases for lon...
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Hari Kalidindi @harikalidindi.bsky.social · 27/11/2025
What's the main factor that prevents us from getting universities and grant committies to pull the plug on these massive profiteering journals and put control back in the hands of researchers ?
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Dan Goodman @neural-reckoning.org · 27/11/2025
Nature Sci Rep publishes incoherent AI slop. eLife publishes a paper which the reviewers didn't agree with, making all the comments and responses public with thoughtful commentary. One of these journals got delisted by Web of Science for quality concerns from not doing peer review. Guess which one?
Two posts from Bluesky. The first one shows a figure from a paper published in Nature Scientific Reports full of totally incoherent AI fabricated gibberish words. The other a comment on a recently published paper by eLife discussing the paper and its peer reviews which were published along with the paper.
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Adam J. Eisen @adamjeisen.bsky.social · 26/11/2025
13/ 😀Feel free to reach out to discuss this work, or the application of it to your field of study. Or come swing by our poster at #NeurIPS2025. We’d love to chat! 📄 Paper: openreview.net/forum?id=I82... 💾 Code: github.com/adamjeisen/J... 📍 Poster: Thu 4 Dec 11am - 2pm PST (#2111)
openreview.net
Characterizing control between interacting subsystems with deep...
Biological function arises through the dynamical interactions of multiple subsystems, including those between brain areas, within gene regulatory networks, and more. A common approach to...
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Hari Kalidindi @harikalidindi.bsky.social · 26/11/2025
Very interesting work!
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Adam J. Eisen @adamjeisen.bsky.social · 26/11/2025
How do brain areas control each other? 🧠🎛️ ✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️
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Hari Kalidindi @harikalidindi.bsky.social · 26/11/2025
looks very cool!
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ǝʞɐlq ǝʌɐp @blakestah.bsky.social · 26/11/2025
I am not even sure it is a hypothesis. I mean, it is a certainty that neural activity coding for a behavior is not using the full subspace of coding available. It is interesting how many dimensions are in use. But these are almost mathematically guaranteed. Can you state the hypothesis?
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Bradley Love @profdata.bsky.social · 25/11/2025
"The inevitability and superfluousness of cell types in spatial cognition". Intuitive cell types are found in random artificial networks using the same selection criteria neuroscientists use with actual data. elifesciences.org/reviewed-pre... 1/2
elifesciences.org
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