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A Biomimetic Evolvable Organic Electrochemical Transistor

Gerasimov, Jennifer Y. ; Zhao, Dan ; Sultana, Ayesha ; Abrahamsson, Tobias ; Han, Shaobo ; Bliman, David LU ; Tu, Deyu ; Simon, Daniel T. ; Olsson, Roger LU orcid and Crispin, Xavier , et al. (2021) In Advanced Electronic Materials 7(11).
Abstract

Biomimicry at the hardware level is expected to overcome at least some of the challenges, including high power consumption, large footprint, two-dimensionality, and limited functionality, which arise as the field of artificial intelligence matures. One of the main attributes that allow biological systems to thrive is the successful interpretation of and response to environmental signals. Taking inspiration from these systems, the first demonstration of using multiple environmental inputs to trigger the formation and control the growth of an evolvable synaptic transistor is reported here. The resulting transistor exhibits long-term changes in the channel conductance at a fixed gate voltage. Biomimetic logic circuits are investigated... (More)

Biomimicry at the hardware level is expected to overcome at least some of the challenges, including high power consumption, large footprint, two-dimensionality, and limited functionality, which arise as the field of artificial intelligence matures. One of the main attributes that allow biological systems to thrive is the successful interpretation of and response to environmental signals. Taking inspiration from these systems, the first demonstration of using multiple environmental inputs to trigger the formation and control the growth of an evolvable synaptic transistor is reported here. The resulting transistor exhibits long-term changes in the channel conductance at a fixed gate voltage. Biomimetic logic circuits are investigated based on this evolvable transistor that implement temperature and pressure inputs to achieve higher order processes like self-regulation of synaptic strength and coincidence detection.

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Please use this url to cite or link to this publication:
@article{496f30ba-9db2-4e37-9ee6-ee1b58e5484e,
  abstract     = {{<p>Biomimicry at the hardware level is expected to overcome at least some of the challenges, including high power consumption, large footprint, two-dimensionality, and limited functionality, which arise as the field of artificial intelligence matures. One of the main attributes that allow biological systems to thrive is the successful interpretation of and response to environmental signals. Taking inspiration from these systems, the first demonstration of using multiple environmental inputs to trigger the formation and control the growth of an evolvable synaptic transistor is reported here. The resulting transistor exhibits long-term changes in the channel conductance at a fixed gate voltage. Biomimetic logic circuits are investigated based on this evolvable transistor that implement temperature and pressure inputs to achieve higher order processes like self-regulation of synaptic strength and coincidence detection.</p>}},
  author       = {{Gerasimov, Jennifer Y. and Zhao, Dan and Sultana, Ayesha and Abrahamsson, Tobias and Han, Shaobo and Bliman, David and Tu, Deyu and Simon, Daniel T. and Olsson, Roger and Crispin, Xavier and Berggren, Magnus and Fabiano, Simone}},
  issn         = {{2199-160X}},
  keywords     = {{coincidence detection; mixed ion-electron conductors; neuromorphic computing; organic electrochemical transistors; self-regulation}},
  language     = {{eng}},
  number       = {{11}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Advanced Electronic Materials}},
  title        = {{A Biomimetic Evolvable Organic Electrochemical Transistor}},
  url          = {{http://dx.doi.org/10.1002/aelm.202001126}},
  doi          = {{10.1002/aelm.202001126}},
  volume       = {{7}},
  year         = {{2021}},
}