An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications
Abstract: An evolvable organic electrochemical transistor (OECT), operating in the hybrid accumulation–depletion mode is reported, which exhibits short‐term and long‐term memory functionalities. The transistor channel, formed by an electropolymerized conducting polymer, can be formed, modulated, and obliterated in situ and under operation. Enduring changes in channel conductance, analogous to long‐term potentiation and depression, are attained by electropolymerization and electrochemical overoxidation of the channel material, respectively. Transient changes in channel conductance, analogous to short‐term potentiation and depression, are accomplished by inducing nonequilibrium doping states within the transistor channel. By manipulating the input signal, the strength of the transistor response to a given stimulus can be modulated within a range that spans several orders of magnitude, producing behavior that is directly comparable to short‐ and long‐term neuroplasticity. The evolvable transistor is further incorporated into a simple circuit that mimics classical conditioning. It is forecasted that OECTs that can be physically and electronically modulated under operation will bring about a new paradigm of machine learning based on evolvable organic electronics.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications ; volume:6 ; number:7 ; year:2019 ; extent:8
Advanced science ; 6, Heft 7 (2019) (gesamt 8)
- Urheber
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Gerasimov, Jennifer Y.
Gabrielsson, Roger
Forchheimer, Robert
Stavrinidou, Eleni
Simon, Daniel T.
Berggren, Magnus
Fabiano, Simone
- DOI
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10.1002/advs.201801339
- URN
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urn:nbn:de:101:1-2022081306403264622644
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:38 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gerasimov, Jennifer Y.
- Gabrielsson, Roger
- Forchheimer, Robert
- Stavrinidou, Eleni
- Simon, Daniel T.
- Berggren, Magnus
- Fabiano, Simone
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