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On the Application of a Diffusive Memristor Compact Model to Neuromorphic Circuits

1
Departamento de Física, FCEyN, UBA, Pabellón 1, Ciudad Universitaria, Buenos Aires 1428, Argentina
2
Instituto Tecnológico de Buenos Aires, and National Scientific and Technical Research Council (CONICET), Buenos Aires 1437, Argentina
3
Departament d‘Enginyeria Electrònica, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Materials 2019, 12(14), 2260; https://doi.org/10.3390/ma12142260
Received: 30 May 2019 / Revised: 1 July 2019 / Accepted: 8 July 2019 / Published: 13 July 2019
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Abstract

Memristive devices have found application in both random access memory and neuromorphic circuits. In particular, it is known that their behavior resembles that of neuronal synapses. However, it is not simple to come by samples of memristors and adjusting their parameters to change their response requires a laborious fabrication process. Moreover, sample to sample variability makes experimentation with memristor-based synapses even harder. The usual alternatives are to either simulate or emulate the memristive systems under study. Both methodologies require the use of accurate modeling equations. In this paper, we present a diffusive compact model of memristive behavior that has already been experimentally validated. Furthermore, we implement an emulation architecture that enables us to freely explore the synapse-like characteristics of memristors. The main advantage of emulation over simulation is that the former allows us to work with real-world circuits. Our results can give some insight into the desirable characteristics of the memristors for neuromorphic applications. View Full-Text
Keywords: memristor; compact model; emulator; neuromorphic; synapse; STDP; pavlov memristor; compact model; emulator; neuromorphic; synapse; STDP; pavlov
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Cisternas Ferri, A.; Rapoport, A.; Fierens, P.I.; Patterson, G.A.; Miranda, E.; Suñé, J. On the Application of a Diffusive Memristor Compact Model to Neuromorphic Circuits. Materials 2019, 12, 2260.

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