4.8 Article

An Evolvable Organic Electrochemical Transistor for Neuromorphic Applications

Journal

ADVANCED SCIENCE
Volume 6, Issue 7, Pages -

Publisher

WILEY
DOI: 10.1002/advs.201801339

Keywords

conducting polymers; evolvable electronics; neuromorphic; organic electrochemical transistors; organic electronics

Funding

  1. Knut and Alice Wallenberg Foundation [2012.0302]
  2. VINNOVA [2015-04859]
  3. Swedish Research Council [2016-03979]
  4. Swedish Foundation for Strategic Research (BioCom Lab) [RIT15-0119]
  5. Marie Sklodowska Curie Individual Fellowship (MSCA-IF-EF-ST, Trans-Plant) [702641]
  6. Swedish Research Council [2016-03979] Funding Source: Swedish Research Council
  7. Swedish Foundation for Strategic Research (SSF) [RIT15-0119] Funding Source: Swedish Foundation for Strategic Research (SSF)
  8. Marie Curie Actions (MSCA) [702641] Funding Source: Marie Curie Actions (MSCA)

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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.

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