Suri Vaikuntanathan
vaikuntsuri.bsky.social
Suri Vaikuntanathan
@vaikuntsuri.bsky.social
Check out new work by Agnish, Matt and co-workers. Active, persistent dynamics can mimic Hebbian “unlearning,” hinting that nonequilibrium physics offers a new route to sharpen associative recall in neural nets. go.aps.org/49O1yHO @uchichemistry.bsky.social
Connection between Hebbian Unlearning and Steady States Generated by Nonequilibrium Dynamics
Active persistent dynamics are shown to mimic some aspects of Hebbian unlearning --- suggesting that nonequilibrium dynamics can provide an alternative way to improve associative recall in neural netw...
go.aps.org
November 12, 2025 at 7:50 PM
Yes, Congrats Anna !!!
Congrats to my fantastic colleague!!! Go Anna!!
Please join us in congratulating Neubauer Family Assistant Prof Anna Wuttig, who has been named the recipient of the 2025 Early Excellence in Science Award in Chemistry. The Bayer Foundation is honoring her "for advancing electrocatalysis for energy storage, conversion, and medicinal chemistry."
October 27, 2025 at 11:12 AM
Reposted by Suri Vaikuntanathan
Preprint 🚨! B cells form localized patterns in the immune synapse when mature, allowing improved affinity discrimination. How? We suggest a new mechanism using dynamic active forces and feedback! Read more @ arxiv.org/abs/2510.18771. Great colab with Shenshen Wang, Tom Chou and Tony Wong (UCLA).
October 24, 2025 at 6:54 PM
Reposted by Suri Vaikuntanathan
This paper was a truly @uchichemistry.bsky.social team effort, jointly led by Shannon Lu, Matt Styles, and Frank Gao with me, Aaron Dinner, and @vaikuntsuri.bsky.social – along with a critical support cast. 12/12
October 15, 2025 at 5:19 PM
Check out arxiv.org/abs/2507.07295 by Cal Floyd where we derived the new non-equilibrium thermodynamic constraint: Intuitively, it says that if we know a system's response at low drive, it will have the same sign at arbitrarily high drive— no matter how close or far from equilibrium !!
Local imperfect feedback control in non-equilibrium biophysical systems enabled by thermodynamic constraints
Understanding how biological systems achieve robust control despite relying on imperfect local information remains a challenging problem. Here, we consider non-equilibrium models which are generically...
arxiv.org
August 8, 2025 at 5:29 PM
Very happy to share work by Cal Floyd now out in Nature Communications nature.com/articles/s41... . We show that the "expressivity" of biophysical decision making circuits is constrained in unexpected ways by non-equilibrium thermodynamics.
Limits on the computational expressivity of non-equilibrium biophysical processes - Nature Communications
How cells use biophysical processes to interpret complex input signals is not well understood. This study reveals limits to the computational power of generic non-equilibrium systems and shows how the...
nature.com
August 8, 2025 at 5:24 PM
This is was a wonderful collaboration ! Hopefully many more ! :)
Super collaboration with @labohaley.bsky.social @vaikuntsuri.bsky.social Ekta Prashnani (NVIDIA) and lab members Hanxiao Sun @nitukumari24.bsky.social @madelinemelzer.bsky.social Leon Schwartz
August 8, 2025 at 5:23 PM
check out new work by Deb in collaboration with Martin, @squishycell.bsky.social , Aleks Walczak and Thierry Mora : arxiv.org/abs/2504.15107 o on how simple mechanosensitive agents can enable learning mechanisms
Learning via mechanosensitivity and activity in cytoskeletal networks
In this work we show how a network inspired by a coarse-grained description of actomyosin cytoskeleton can learn - in a contrastive learning framework - from environmental perturbations if it is endow...
arxiv.org
April 22, 2025 at 9:07 AM
Check out new work by Jordan in collaboration with Aaron Dinner and Petia Vlahovska
! arxiv.org/abs/2503.24120 We consider minimal protocels under non-equilibrium growth conditions and extract low (2) dimensional rules to describe their shapes.
April 4, 2025 at 3:29 PM
Very happy to share new work in collaboration with
Sergey Semenov and coworkers. Lissa and Yuqing analyzed the waves in latent space and found a low dimensional representation of the waves. pubs.rsc.org/en/content/a...
Chemical waves in reaction-diffusion networks of small organic molecules
Chemical waves represent one of the fundamental behaviors that emerge in nonlinear, out-of-equilibrium chemical systems. They also play a central role in regulating behaviors and development of biolog...
pubs.rsc.org
December 16, 2024 at 9:31 PM
Reposted by Suri Vaikuntanathan
Very excited to share a thread about our new preprint! It's a highly collaborative project, w key contributions from @josephlannan.bsky.social (in my lab) @bhamlalab.bsky.social (+ GS Luke Xu), Dinner Lab (+ PD Cal Floyd), Jerry Honts, Marshall lab (+ GS Connie Yan), and Suri Vaikuntanathan 1/13
November 15, 2024 at 2:53 PM
Reposted by Suri Vaikuntanathan
We need to have a ‘code of conduct’ for reviewing manuscripts, like (1) if you say that something is not novel then provide the reference. (2) If you propose an experiment, state precisely to which claim it is crucial. (3) If you want to say something nasty then sign your name.
November 17, 2024 at 2:47 PM
Check out new work by Cal on using Reinforcement Learning to control the dynamics of defects in an active nematic arxiv.org/abs/2411.09588
Tailoring interactions between active nematic defects with reinforcement learning
Active nematics, formed from a liquid crystalline suspension of active force dipoles, are a paradigmatic active matter system whose study provides insights into how chemical driving produces the cellu...
arxiv.org
November 15, 2024 at 2:28 AM
(Older post from the other side) Very happy to share work by Cal (w Aaron and
Arvind Murugan
) arxiv.org/abs/2409.05827 ! We show how the expressivity/computational ability of non-equilibrium biological processes may expected to be fundamentally limited.
November 14, 2024 at 2:52 PM
Check out new work arxiv.org/abs/2411.07233 by Alexandra, Agnish, Aditya and Cal on generative diffusion but with correlated or ``active" noise.
Score-based generative diffusion with "active" correlated noise sources
Diffusion models exhibit robust generative properties by approximating the underlying distribution of a dataset and synthesizing data by sampling from the approximated distribution. In this work, we e...
arxiv.org
November 14, 2024 at 12:47 PM
November 14, 2024 at 12:44 PM