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Emulating homeoplasticity phenomena with organic electrochemical devices

Published online by Cambridge University Press:  04 April 2018

Dimitrios A. Koutsouras
Affiliation:
Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, Gardanne 13541, France
George G. Malliaras
Affiliation:
Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, Gardanne 13541, France
Paschalis Gkoupidenis*
Affiliation:
Department of Bioelectronics, Ecole Nationale Supérieure des Mines, CMP-EMSE, MOC, Gardanne 13541, France
*
Address all correspondence to Paschalis Gkoupidenis at gkoupidenis@mpip-mainz.mpg.de
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Abstract

Biologic neural networks are immersed in common electrolyte environment, and homeoplasticity or global factors of this environment are forcing specific normalization functions that regulate the overall network behavior. In this work, a common electrolyte is used to gate a grid of organic electrochemical devices. The electrolyte functions as a global parameter that controls collectively the device grid. Statistical analysis of the grid and the subsequent definition of global metrics reveal that the grid behaves similarly to a single device. This global control modulates the gain of the device grid, a phenomenon analog to multiplicative scaling in biologic networks. This work demonstrates the potential use of electrolytes as homeostatic media in neuromorphic device architectures.

Type
Research Letters
Copyright
Copyright © Materials Research Society 2018 

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Footnotes

*

Present address: Max Planck Institute for Polymer Research, Ackermannweg 10, Mainz 55128, Germany

Present address: Department of Engineering, Department of Electrical Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK

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