Our understanding of neural computation -- both in the brain and artificial networks -- is founded on an assumption: That neurons fire in response to a linear sum of inputs We systematically test this assumption 👇 arxiv.org/abs/2504.08637

Postdoc opportunity! Join us in heavenly Vancouver (Canada) to develop fundamental nonequilibrium stat mech, thermo, and info theory applied to biomolecular machines and in close collaboration with experiment. Details: sfu.ca/physics/sivakg…

Interested in coarse-graining, irreversibility, or neural activity in the hippocampus? If so, check out our new preprint exploring how maximizing the irreversibility preserved from microscopic dynamics leads to interpretable coarse-grained descriptions of biological systems!

Still accepting postdoc applications!

Our recent work (elifesciences.org/articles/104276) combines theory and experiments (by Alex Papagiannakis and JacobsWagnerLab) to understand how chromosome segregation is coupled to growth in E coli. We demonstrate that the nonequilibrium dynamics of polysomes may play a key role.