activity
20232025
most citedSoft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales

18 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.PE2025★ 1 cited

Suppression of errors in collectively coded information

Martin J. Falk, Leon Zhou, Yoshiya J. Matsubara +3

Modern life largely transmits genetic information from mother to daughter through the duplication of single physically intact molecules that encode information. However, copying an…

physics.bio-ph2025

Simple biological controllers drive the evolution of soft modes

Christopher Joel Russo, Kabir Husain, Rama Ranganathan +2

Biological systems, with many interacting components, face high-dimensional environmental fluctuations, ranging from diverse nutrient deprivations to toxins, drugs, and physical st…

q-bio.PE2025

Ecosystems as adaptive living circuits

Ankit Dhanuka, Avi I. Flamholz, Arvind Murugan +1

Unlike many physical nonequilibrium systems, in biological systems, the coupling to external energy sources is not a fixed parameter but adaptively controlled by the system itself.…

q-bio.QM2024★ 18 cited

Soft Modes as a Predictive Framework for Low Dimensional Biological Systems across Scales

Christopher Joel Russo, Kabir Husain, Arvind Murugan

All biological systems are subject to perturbations: due to thermal fluctuations, external environments, or mutations. Yet, while biological systems are composed of thousands of in…

q-bio.PE2024

Dynamic coexistence driven by physiological transitions in microbial communities

Avaneesh V. Narla, Terence Hwa, Arvind Murugan

Microbial ecosystems are commonly modeled by fixed interactions between species in steady exponential growth states. However, microbes often modify their environments so strongly t…

cond-mat.dis-nn2023★ 2 cited

Temporal Contrastive Learning through implicit non-equilibrium memory

Martin J. Falk, Adam T. Strupp, Benjamin Scellier +1

The backpropagation method has enabled transformative uses of neural networks. Alternatively, for energy-based models, local learning methods involving only nearby neurons offer be…