23 citations · 76 across the 14 of their papers we have counts for
13 papers · 1 filter
On the Information Required for Feedback Control
Matthew P. Leighton, Jose M. Betancourt, Thierry Emonet +2
Biological systems across scales, along with many engineering problems, must control noisy systems with limited information. Here we study information-limited feedback control of s…
Will a Large Complex System be a Maxwell Demon?
Matthew P Leighton
Emerging evidence suggests that physical systems operating as Maxwell demons, in which some subsystem of a larger system extracts heat energy from its environment in an apparent lo…
Tractable Model for Tunable Non-Markovian Dynamics
Matthew P. Leighton, Christopher W. Lynn
Non-Markovian dynamics are ubiquitous across physics, biology, and engineering. Yet our understanding of non-Markovian processes significantly lags that of simpler Markovian proces…
Decomposing Non-Markovian History Dependence
Matthew P. Leighton, Christopher W. Lynn
Non-Markovian stochastic processes are ubiquitous in biology. Nevertheless, we lack a general framework for quantifying historical dependencies. In this Letter, we propose an infor…
Coarse-graining dynamics to maximize irreversibility
Qiwei Yu, Matthew P. Leighton, Christopher W. Lynn
In many far-from-equilibrium biological systems, energy injected by irreversible processes at microscopic scales propagates to larger scales to fulfill important biological functio…
Information thermodynamics of cellular ion pumps
Julian D. Jiménez-Paz, Matthew P. Leighton, David A. Sivak
The framework of bipartite stochastic thermodynamics is a powerful tool to analyze a composite system's internal thermodynamics. It has been used to study the components of differe…