Limits on the computational expressivity of non-equilibrium biophysical processes
Abstract Many biological decision-making tasks require classifying high-dimensional chemical states. The biophysical and computational mechanisms that enable classification remain enigmatic. In this work, using Markov jump processes as an abstraction of general biochemical networks, we reveal severa...
Saved in:
| Main Authors: | Carlos Floyd, Aaron R. Dinner, Arvind Murugan, Suriyanarayanan Vaikuntanathan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-61873-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recombinant expression, biophysical and functional characterization of ClpS from
by: Guo Chenyun, et al.
Published: (2019-10-01) -
Local Equilibrium Approximation in Non-Equilibrium Thermodynamics of Diffusion
by: Kim R. Kristiansen, et al.
Published: (2025-04-01) -
Biophysical and computational insights from modeling human cortical pyramidal neurons
by: Sapir Shapira, et al.
Published: (2025-07-01) -
Computing Stackelberg Equilibrium for Cancer Treatment
by: Sam Ganzfried
Published: (2024-12-01) -
Prediction of Reservoir Bank Collapse Based on the Limit Equilibrium Theory
by: Xuetong Ma, et al.
Published: (2023-01-01)