Author:
Ngampruetikorn Vudtiwat,Schwab David J.,Stephens Greg J.
Abstract
AbstractThe reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood. We introduce a model of two interacting sensors which allows for the principled exploration of signal statistics, cooperation strategies and the role of energy consumption in optimal sensing, quantified through the mutual information between the signal and the sensors. Here we report that in general the optimal sensing strategy depends both on the noise level and the statistics of the signals. For joint, correlated signals, energy consuming (nonequilibrium), asymmetric couplings result in maximum information gain in the low-noise, high-signal-correlation limit. Surprisingly we also find that energy consumption is not always required for optimal sensing. We generalise our model to incorporate time integration of the sensor state by a population of readout molecules, and demonstrate that sensor interaction and energy consumption remain important for optimal sensing.
Funder
National Science Foundation
U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering
DOE | LDRD | Fermilab
Vrije Universiteit Amsterdam
Okinawa Institute of Science and Technology School Corporation
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Cited by
12 articles.
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