From the 1 of 8 linked papers with an AI index.
8 papers
A behavior-environment information loop drives sensory navigation
Kevin S. Chen, Matthew P. Leighton, Damon A. Clark +1
The paper presents an information‑theoretic framework using transfer entropy to quantify how sensory inputs and behavioral actions influence each other during navigation, and shows…
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…
Hunting for Maxwell's Demon in the Wild
Johan du Buisson, Jannik Ehrich, Matthew P. Leighton +4
The paradox of Maxwell's demon motivated the development of information thermodynamics and the creation of nanoscale information engines. We now understand that machines such as th…
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…
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…
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…