Dendritic Organic Electrochemical Transistors Grown by Electropolymerization for 3D Neuromorphic Engineering.

bipolar electropolymerization long-term memory organic electrochemical transistors short-term memory structural plasticity synaptic plasticity

Journal

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569

Informations de publication

Date de publication:
12 2021
Historique:
revised: 13 09 2021
received: 09 07 2021
pubmed: 31 10 2021
medline: 17 3 2022
entrez: 30 10 2021
Statut: ppublish

Résumé

One of the major limitations of standard top-down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains. Here, it is shown how bipolar electropolymerization can be used to engineer 3D networks of PEDOT:PSS dendritic fibers. By controlling the growth conditions of the electropolymerized material, it is investigated how dendritic fibers can reproduce structural plasticity by creating structures of controllable shape. Gradual topologies evolution is demonstrated in a multielectrode configuration. A detailed electrical characterization of the PEDOT:PSS dendrites is conducted through DC and impedance spectroscopy measurements and it is shown how organic electrochemical transistors (OECT) can be realized with these structures. These measurements reveal that quasi-static and transient response of OECTs can be adjusted by controlling dendrites' morphologies. The unique properties of organic dendrites are used to demonstrate short-term, long-term, and structural plasticity, which are essential features required for future neuromorphic hardware development.

Identifiants

pubmed: 34716682
doi: 10.1002/advs.202102973
pmc: PMC8693061
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2102973

Subventions

Organisme : ERC
ID : #773228

Informations de copyright

© 2021 The Authors. Advanced Science published by Wiley-VCH GmbH.

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Auteurs

Kamila Janzakova (K)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.

Mahdi Ghazal (M)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.

Ankush Kumar (A)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.

Yannick Coffinier (Y)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.

Sébastien Pecqueur (S)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.

Fabien Alibart (F)

Institut d'Électronique, Microélectronique et Nanotechnologies (IEMN) - CNRS UMR 8520 - Université de Lille, boulevard Poincarré, Villeneuve d'Ascq, 59652, France.
Laboratoire Nanotechnologies Nanosystèmes (LN2) - CNRS UMI-3463 - 3IT, Sherbrooke, J1K 0A5, Canada.

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Classifications MeSH