From the 1 of 8 linked papers with an AI index.
8 papers
Navigation driven by bidirectional information transmission between sensing and actuation
Avishek Das, Pieter Rein ten Wolde
The paper derives theoretical relations (BESTs) that link the strength and timing of bidirectional information flow between sensing and actuation to the navigation performance of c…
State- versus Reaction-Based Information Processing in Biochemical Networks
Anne-Lena Moor, Age Tjalma, Manuel Reinhardt +2
Trajectory mutual information is frequently used to quantify information transfer in biochemical systems. Tractable solutions of the trajectory mutual information can be obtained v…
Bit reset protocols that obey activity-constrained speed limits do not minimize work for a given speed
Daan Mulder, Thomas E. Ouldridge, Pieter Rein ten Wolde
The goal of thermodynamic optimal control theory is to find protocols to change the state of a system from an initial to a desired final distribution, within a finite time, with th…
ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks
Manuel Reinhardt, GaÅ¡per TkaÄik, Gašper Tkačik +1
The ability to quantify information transmission is crucial for the analysis and design of both natural and engineered systems. For systems driven by time-varying signals, the fund…
Mutual Information Rate -- Linear Noise Approximation and Exact Computation
Manuel Reinhardt, Age J. Tjalma, Anne-Lena Moor +2
Efficient information processing is crucial for both living organisms and engineered systems. The mutual information rate, a core concept of information theory, quantifies the amou…
Exact computation of Transfer Entropy with Path Weight Sampling
Avishek Das, Pieter Rein ten Wolde
The ability to quantify the directional flow of information is vital to understanding natural systems and designing engineered information-processing systems. A widely used measure…