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  Neuromorphic device architectures with global connectivity through electrolyte gating

Gkoupidenis, P., Koutsouras, D. A., & Malliaras, G. G. (2017). Neuromorphic device architectures with global connectivity through electrolyte gating. Nature Communications, 8: 15448. doi:10.1038/ncomms15448.

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Gkoupidenis, Paschalis1, Author              
Koutsouras, Dimitrios A., Author
Malliaras, George G., Author
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1Ecole Natl Super Mines, Dept Bioelect, CMP EMSE, MOC, Gardanne, France, ou_persistent22              

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 Abstract: Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the same time, neurons are immersed in a common electrochemical environment, and global parameters such as concentrations of various hormones regulate the overall network function. This computational paradigm of global regulation, also known as homeoplasticity, has important implications in the overall behaviour of large neural ensembles and is barely addressed in neuromorphic device architectures. Here, we demonstrate the global control of an array of organic devices based on poly(3,4ethylenedioxythiophene):poly(styrene sulf) that are immersed in an electrolyte, a behaviour that resembles homeoplasticity phenomena of the neural environment. We use this effect to produce behaviour that is reminiscent of the coupling between local activity and global oscillations in the biological neural networks. We further show that the electrolyte establishes complex connections between individual devices, and leverage these connections to implement coincidence detection. These results demonstrate that electrolyte gating offers significant advantages for the realization of networks of neuromorphic devices of higher complexity and with minimal hardwired connectivity.

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 Dates: 2017-05-17
 Publication Status: Published online
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 Identifiers: DOI: 10.1038/ncomms15448
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 8 Sequence Number: 15448 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723