Organic Memristors and Adaptive Networks

Victor Erokhin; Tatiana Berzina; Svetlana Erokhina; M. Fontana

4th International ICST Workshop on Nano-bio-sensing

Research Article

Organic Memristors and Adaptive Networks

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@INPROCEEDINGS{10.1007/978-3-642-04850-0_28,
    author={Victor Erokhin and Tatiana Berzina and Svetlana Erokhina and M. Fontana},
    title={Organic Memristors and Adaptive Networks},
    proceedings={4th International ICST Workshop on Nano-bio-sensing},
    proceedings_a={NANO-BIO-SENSING},
    year={2012},
    month={5},
    keywords={Organic memristor conducting and ionic polymers adaptive networks polymer fibers},
    doi={10.1007/978-3-642-04850-0_28}
}

Victor Erokhin
Tatiana Berzina
Svetlana Erokhina
M. Fontana
Year: 2012
Organic Memristors and Adaptive Networks
NANO-BIO-SENSING
Springer
DOI: 10.1007/978-3-642-04850-0_28

Victor Erokhin^,*, Tatiana Berzina^,*, Svetlana Erokhina¹^,*, M. Fontana^,*

1: University of Parma

*Contact email: victor.erokhin@fis.unipr.it, tatiana.berzina@fis.unipr.it, svetlana.erokhina@fis.unipr.it, marco.fontana@fis.unipr.it

Abstract

We describe the organic memristor – an element which varies its conductance according to the history of its previous involvement into the signal transfer processes. After the presentation of basic principles and fundamental properties, we present the architecture of the organization of model networks, capabale to learning. Finally, we discuss the possible ways, alternative to the currently existing lithography-based technologies, that would result in the fabrication of statistically organized fiber networks of such elements.

Keywords: Organic memristor conducting and ionic polymers adaptive networks polymer fibers

Published: 2012-05-28

: http://dx.doi.org/10.1007/978-3-642-04850-0_28

Organic Memristors and Adaptive Networks

Abstract

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