Thermodynamic costs of information processing in sensory adaptation

Biological sensory systems react to changes in their surroundings. They are characterized by fast response and slow adaptation to varying environmental cues. Insofar as sensory adaptive systems map environmental changes to changes of their internal degrees of freedom, they can be regarded as computa...

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Detalles Bibliográficos
Autores: Sartori, Pablo, Granger, Leo, Chiu Fan, Lee, Horowitz, Jordan M.
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/33895
Acceso en línea:https://hdl.handle.net/20.500.14352/33895
Access Level:acceso abierto
Palabra clave:539.1
Física nuclear
2207 Física Atómica y Nuclear
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spelling Thermodynamic costs of information processing in sensory adaptationSartori, PabloGranger, LeoChiu Fan, LeeHorowitz, Jordan M.539.1Física nuclear2207 Física Atómica y NuclearBiological sensory systems react to changes in their surroundings. They are characterized by fast response and slow adaptation to varying environmental cues. Insofar as sensory adaptive systems map environmental changes to changes of their internal degrees of freedom, they can be regarded as computational devices manipulating information. Landauer established that information is ultimately physical, and its manipulation subject to the entropic and energetic bounds of thermodynamics. Thus the fundamental costs of biological sensory adaptation can be elucidated by tracking how the information the system has about its environment is altered. These bounds are particularly relevant for small organisms, which unlike everyday computers, operate at very low energies. In this paper, we establish a general framework for the thermodynamics of information processing in sensing. With it, we quantify how during sensory adaptation information about the past is erased, while information about the present is gathered. This process produces entropy larger than the amount of old information erased and has an energetic cost bounded by the amount of new information written to memory. We apply these principles to the E. coli’s chemotaxis pathway during binary ligand concentration changes. In this regime, we quantify the amount of information stored by each methyl group and show that receptors consume energy in the range of the information-theoretic minimum. Our work provides a basis for further inquiries into more complex phenomena, such as gradient sensing and frequency response.Public Library of ScienceUniversidad Complutense de Madrid20142014-12-1120142014-12-11journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/33895reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/338952026-06-02T12:44:21Z
dc.title.none.fl_str_mv Thermodynamic costs of information processing in sensory adaptation
title Thermodynamic costs of information processing in sensory adaptation
spellingShingle Thermodynamic costs of information processing in sensory adaptation
Sartori, Pablo
539.1
Física nuclear
2207 Física Atómica y Nuclear
title_short Thermodynamic costs of information processing in sensory adaptation
title_full Thermodynamic costs of information processing in sensory adaptation
title_fullStr Thermodynamic costs of information processing in sensory adaptation
title_full_unstemmed Thermodynamic costs of information processing in sensory adaptation
title_sort Thermodynamic costs of information processing in sensory adaptation
dc.creator.none.fl_str_mv Sartori, Pablo
Granger, Leo
Chiu Fan, Lee
Horowitz, Jordan M.
author Sartori, Pablo
author_facet Sartori, Pablo
Granger, Leo
Chiu Fan, Lee
Horowitz, Jordan M.
author_role author
author2 Granger, Leo
Chiu Fan, Lee
Horowitz, Jordan M.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 539.1
Física nuclear
2207 Física Atómica y Nuclear
topic 539.1
Física nuclear
2207 Física Atómica y Nuclear
description Biological sensory systems react to changes in their surroundings. They are characterized by fast response and slow adaptation to varying environmental cues. Insofar as sensory adaptive systems map environmental changes to changes of their internal degrees of freedom, they can be regarded as computational devices manipulating information. Landauer established that information is ultimately physical, and its manipulation subject to the entropic and energetic bounds of thermodynamics. Thus the fundamental costs of biological sensory adaptation can be elucidated by tracking how the information the system has about its environment is altered. These bounds are particularly relevant for small organisms, which unlike everyday computers, operate at very low energies. In this paper, we establish a general framework for the thermodynamics of information processing in sensing. With it, we quantify how during sensory adaptation information about the past is erased, while information about the present is gathered. This process produces entropy larger than the amount of old information erased and has an energetic cost bounded by the amount of new information written to memory. We apply these principles to the E. coli’s chemotaxis pathway during binary ligand concentration changes. In this regime, we quantify the amount of information stored by each methyl group and show that receptors consume energy in the range of the information-theoretic minimum. Our work provides a basis for further inquiries into more complex phenomena, such as gradient sensing and frequency response.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-12-11
2014
2014-12-11
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/33895
url https://hdl.handle.net/20.500.14352/33895
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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