Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.

Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in mo...

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Autores principales:	Javier Cervera, José A Manzanares, Salvador Mafé
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9ddf9e0274544fafbea4b52ddf51c8ea
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spelling	oai:doaj.org-article:9ddf9e0274544fafbea4b52ddf51c8ea2021-11-18T08:00:40ZBiologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.1932-620310.1371/journal.pone.0053821https://doaj.org/article/9ddf9e0274544fafbea4b52ddf51c8ea2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23349746/?tool=EBIhttps://doaj.org/toc/1932-6203Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual threshold potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the threshold potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.Javier CerveraJosé A ManzanaresSalvador MaféPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e53821 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Javier Cervera José A Manzanares Salvador Mafé Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
description	Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual threshold potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the threshold potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.
format	article
author	Javier Cervera José A Manzanares Salvador Mafé
author_facet	Javier Cervera José A Manzanares Salvador Mafé
author_sort	Javier Cervera
title	Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
title_short	Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
title_full	Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
title_fullStr	Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
title_full_unstemmed	Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
title_sort	biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/9ddf9e0274544fafbea4b52ddf51c8ea
work_keys_str_mv	AT javiercervera biologicallyinspiredinformationprocessingandsynchronizationinensemblesofnonidenticalthresholdpotentialnanostructures AT joseamanzanares biologicallyinspiredinformationprocessingandsynchronizationinensemblesofnonidenticalthresholdpotentialnanostructures AT salvadormafe biologicallyinspiredinformationprocessingandsynchronizationinensemblesofnonidenticalthresholdpotentialnanostructures
_version_	1718422684944039936

Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.

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