Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules

Abstract We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injection of space-charge from the metallic el...

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Autores principales: Eléonore Vissol-Gaudin, Chris Pearson, Chris Groves, Dagou A. Zeze, Horacio F. Cantiello, María del Rocio Cantero, Michael C. Petty
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6b57acf77ff445b6b20a038dc1f7eea4
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spelling oai:doaj.org-article:6b57acf77ff445b6b20a038dc1f7eea42021-12-02T15:49:42ZElectrical behaviour and evolutionary computation in thin films of bovine brain microtubules10.1038/s41598-021-90260-02045-2322https://doaj.org/article/6b57acf77ff445b6b20a038dc1f7eea42021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90260-0https://doaj.org/toc/2045-2322Abstract We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injection of space-charge from the metallic electrode(s). The MTs are thought to form a complex electrical network, which can be manipulated with an applied voltage. This feature has been exploited to undertake some experiments on the use of the MT mesh as a medium for computation. We show that it is possible to evolve MT films into binary classifiers following an evolution in materio approach. The accuracy of the system is, on average, similar to that of early carbon nanotube classifiers developed using the same methodology.Eléonore Vissol-GaudinChris PearsonChris GrovesDagou A. ZezeHoracio F. CantielloMaría del Rocio CanteroMichael C. PettyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Eléonore Vissol-Gaudin
Chris Pearson
Chris Groves
Dagou A. Zeze
Horacio F. Cantiello
María del Rocio Cantero
Michael C. Petty
Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
description Abstract We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injection of space-charge from the metallic electrode(s). The MTs are thought to form a complex electrical network, which can be manipulated with an applied voltage. This feature has been exploited to undertake some experiments on the use of the MT mesh as a medium for computation. We show that it is possible to evolve MT films into binary classifiers following an evolution in materio approach. The accuracy of the system is, on average, similar to that of early carbon nanotube classifiers developed using the same methodology.
format article
author Eléonore Vissol-Gaudin
Chris Pearson
Chris Groves
Dagou A. Zeze
Horacio F. Cantiello
María del Rocio Cantero
Michael C. Petty
author_facet Eléonore Vissol-Gaudin
Chris Pearson
Chris Groves
Dagou A. Zeze
Horacio F. Cantiello
María del Rocio Cantero
Michael C. Petty
author_sort Eléonore Vissol-Gaudin
title Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
title_short Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
title_full Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
title_fullStr Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
title_full_unstemmed Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
title_sort electrical behaviour and evolutionary computation in thin films of bovine brain microtubules
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6b57acf77ff445b6b20a038dc1f7eea4
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AT dagouazeze electricalbehaviourandevolutionarycomputationinthinfilmsofbovinebrainmicrotubules
AT horaciofcantiello electricalbehaviourandevolutionarycomputationinthinfilmsofbovinebrainmicrotubules
AT mariadelrociocantero electricalbehaviourandevolutionarycomputationinthinfilmsofbovinebrainmicrotubules
AT michaelcpetty electricalbehaviourandevolutionarycomputationinthinfilmsofbovinebrainmicrotubules
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