23 citations · 103 across the 17 of their papers we have counts for
19 papers
Mutual Information in High-Dimensional Neural Coding
Zimo Li, Yuchang Tian, Matthew P. Leighton +1
Estimating mutual information in large neural populations is limited by the exponential growth of possible neural response patterns. Here we apply a Monte Carlo framework to make t…
A behavior-environment information loop drives sensory navigation
Kevin S. Chen, Matthew P. Leighton, Damon A. Clark +1
As organisms navigate the environment to locate critical resources, their behavioral actions must be tightly coupled to their sensory inputs. Here, we introduce an information-theo…
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…
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…
Flow of Energy and Information in Molecular Machines
Matthew P. Leighton, David A. Sivak
Molecular machines transduce free energy between different forms throughout all living organisms. While truly machines in their own right, unlike their macroscopic counterparts mol…
Information Arbitrage in Bipartite Heat Engines
Matthew P. Leighton, Jannik Ehrich, David A. Sivak
Heat engines and information engines have each historically served as motivating examples for the development of thermodynamics. While these two types of systems are typically thou…
Jensen bound for the entropy production rate in stochastic thermodynamics
Matthew P. Leighton, David A. Sivak
Bounding and estimating entropy production has long been an important goal of nonequilibrium thermodynamics. We recently derived a lower bound on the total and subsystem entropy pr…
Torsion and Bistability of Double-Twist Elastomers
Matthew P. Leighton, Laurent Kreplak, Andrew D. Rutenberg
We investigate the elastic properties of anisotropic elastomers with a double-twist director field, which is a model for collagen fibrils or blue phases. We observe a significant P…
Inferring Subsystem Efficiencies in Bipartite Molecular Machines
Matthew P. Leighton, David A. Sivak
Molecular machines composed of coupled subsystems transduce free energy between different external reservoirs, in the process internally transducing energy and information. While s…
Dynamic and thermodynamic bounds for collective motor-driven transport
Matthew P. Leighton, David A. Sivak
Molecular motors work collectively to transport cargo within cells, with anywhere from one to several hundred motors towing a single cargo. For a broad class of collective-transpor…
Performance scaling and trade-offs for collective motor-driven transport
Matthew P. Leighton, David A. Sivak
Motor-driven intracellular transport of organelles, vesicles, and other molecular cargo is a highly collective process. An individual cargo is often pulled by a team of transport m…
Chiral phase-coexistence in compressed double-twist elastomers
Matthew P. Leighton, Laurent Kreplak, Andrew D. Rutenberg
We adapt the theory of anisotropic rubber elasticity to model cross-linked double-twist liquid crystal cylinders such as exhibited in biological systems. In mechanical extension we…
D-band strain underestimates fibril strain for twisted collagen fibrils at low strains
Matthew P. Leighton, Andrew D. Rutenberg, Laurent Kreplak
Collagen fibrils are the main structural component of load-bearing tissues such as tendons, ligaments, skin, the cornea of the eye, and the heart. The D-band of collagen fibrils is…
Non-equilibrium Growth and Twist of Cross-Linked Collagen Fibrils
Matthew P. Leighton, Laurent Kreplak, Andrew D. Rutenberg
The lysyl oxidase (LOX) enzyme that catalyses cross-link formation during the assembly of collagen fibrils in vivo is too large to diffuse within assembled fibrils, and so is incom…