Information Dynamics of a Nonlinear Stochastic Nanopore System
Nanopores have become a subject of interest in the scientific community due to their potential uses in nanometer-scale laboratory and research applications, including infectious disease diagnostics and DNA sequencing. Additionally, they display behavioral similarity to molecular and cellular scale p...
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doaj-e9e15a5d18c04d73a9c5230ef738fc232020-11-25T01:09:20ZengMDPI AGEntropy1099-43002018-03-0120422110.3390/e20040221e20040221Information Dynamics of a Nonlinear Stochastic Nanopore SystemClaire Gilpin0David Darmon1Zuzanna Siwy2Craig Martens3Department of Physics and Astronomy, University of California-Irvine, Irvine, CA 92697-4575, USADepartment of Military and Emergency Medicine, Uniformed Services University, Bethesda, MD 20814, USADepartment of Physics and Astronomy, University of California-Irvine, Irvine, CA 92697-4575, USADepartment of Chemistry, University of California-Irvine, Irvine, CA 92697-2025, USANanopores have become a subject of interest in the scientific community due to their potential uses in nanometer-scale laboratory and research applications, including infectious disease diagnostics and DNA sequencing. Additionally, they display behavioral similarity to molecular and cellular scale physiological processes. Recent advances in information theory have made it possible to probe the information dynamics of nonlinear stochastic dynamical systems, such as autonomously fluctuating nanopore systems, which has enhanced our understanding of the physical systems they model. We present the results of local (LER) and specific entropy rate (SER) computations from a simulation study of an autonomously fluctuating nanopore system. We learn that both metrics show increases that correspond to fluctuations in the nanopore current, indicating fundamental changes in information generation surrounding these fluctuations.http://www.mdpi.com/1099-4300/20/4/221entropylocal entropy ratespecific entropy rateinformation dynamicsk-nearest neighbor estimationnanopore |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Claire Gilpin David Darmon Zuzanna Siwy Craig Martens |
spellingShingle |
Claire Gilpin David Darmon Zuzanna Siwy Craig Martens Information Dynamics of a Nonlinear Stochastic Nanopore System Entropy entropy local entropy rate specific entropy rate information dynamics k-nearest neighbor estimation nanopore |
author_facet |
Claire Gilpin David Darmon Zuzanna Siwy Craig Martens |
author_sort |
Claire Gilpin |
title |
Information Dynamics of a Nonlinear Stochastic Nanopore System |
title_short |
Information Dynamics of a Nonlinear Stochastic Nanopore System |
title_full |
Information Dynamics of a Nonlinear Stochastic Nanopore System |
title_fullStr |
Information Dynamics of a Nonlinear Stochastic Nanopore System |
title_full_unstemmed |
Information Dynamics of a Nonlinear Stochastic Nanopore System |
title_sort |
information dynamics of a nonlinear stochastic nanopore system |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2018-03-01 |
description |
Nanopores have become a subject of interest in the scientific community due to their potential uses in nanometer-scale laboratory and research applications, including infectious disease diagnostics and DNA sequencing. Additionally, they display behavioral similarity to molecular and cellular scale physiological processes. Recent advances in information theory have made it possible to probe the information dynamics of nonlinear stochastic dynamical systems, such as autonomously fluctuating nanopore systems, which has enhanced our understanding of the physical systems they model. We present the results of local (LER) and specific entropy rate (SER) computations from a simulation study of an autonomously fluctuating nanopore system. We learn that both metrics show increases that correspond to fluctuations in the nanopore current, indicating fundamental changes in information generation surrounding these fluctuations. |
topic |
entropy local entropy rate specific entropy rate information dynamics k-nearest neighbor estimation nanopore |
url |
http://www.mdpi.com/1099-4300/20/4/221 |
work_keys_str_mv |
AT clairegilpin informationdynamicsofanonlinearstochasticnanoporesystem AT daviddarmon informationdynamicsofanonlinearstochasticnanoporesystem AT zuzannasiwy informationdynamicsofanonlinearstochasticnanoporesystem AT craigmartens informationdynamicsofanonlinearstochasticnanoporesystem |
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1725179523403612160 |