output
20202023
most citedLearning physically consistent mathematical models from data using group sparsity

26 citations

12 papers

physics.bio-ph2023

Twofold mechanosensitivity ensures actin cortex reinforcement upon peaks in mechanical tension

Valentin Ruffine, Andreas Hartmann, Michael Schlierf +1

The actin cortex is an active biopolymer network underneath the plasma membrane at the periphery of mammalian cells. It is a major regulator of cell shape through the generation of…

cond-mat.soft20221 cited

Random traction yielding transition in epithelial tissues

Aboutaleb Amiri, Charlie Duclut, Frank Jülicher +1

We investigate how randomly oriented cell traction forces lead to fluidisation in a vertex model of epithelial tissues. We find that the fluidisation occurs at a critical value of…

cond-mat.soft20229 cited

Broken living layers: dislocations in active smectics

Frank Julicher, Jacques Prost, John Toner

We show that dislocations in active 2d smectics with underlying rotational symmetry are always unbound in the presence of noise, meaning the active smectic phase does not exist for…

nlin.AO20225 cited

Phase separation induces congestion waves in electric vehicle charging

Philip Marszal, Marc Timme, Malte Schröder

Electric vehicles may dominate motorized transport in the next decade, yet the impact of the collective dynamics of electric mobility on long-range traffic flow is still largely un…

cond-mat.stat-mech2022

Learning stochastic filtering

Rahul O. Ramakrishnan, Andrea Auconi, Benjamin M. Friedrich

We quantify the performance of approximations to stochastic filtering by the Kullback-Leibler divergence to the optimal Bayesian filter. Using a two-state Markov process that drive…

q-bio.NC20211 cited

Stochastic facilitation in heteroclinic communication channels

Giovanni Sirio Carmantini, Fabio Schittler Neves, Marc Timme +1

Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state-spaces, inspiring alternative paradigms of…