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Memristor plasticity enables emergence of synchronization in neuromorphic networks

Abstract : Besides being at the core of novel ultra-high density low-power non-volatile memories and innovative pattern recognition systems based upon oscillatory associative and dynamic memories, the nano-scale memristor also has the potential to reproduce the behavior of a biological synapse more efficiently and accurately than any conventional electronic emulator. As in a living being the weight of a synapse is adapted by the ionic flow through it, so the conductance of a memristor is adjusted by the flux across it. This article is organized according to the regulations of the ISCAS2014 special session on the state-of-the-art in memristor-based nonlinear circuits and architectures. In this work we focus on arrays of oscillatory cells locally coupled through memristors. Our investigations shows how the nonlinear dynamics of the memristor plays a key role in the mechanisms underlying the synchronization properties of the networks. This work provides new insights into the nonlinear behavior of the still largely unexplored memristor element, which promises to revolutionize integrated circuit design in the incoming years.
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Submitted on : Monday, February 25, 2019 - 11:19:55 AM
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Alon Ascoli, Ronald Tetzlaff, Valentina Lanza, Fernando Corinto, Marco Gilli. Memristor plasticity enables emergence of synchronization in neuromorphic networks. 2014 IEEE International Symposium on Circuits and Systems (ISCAS), Jun 2014, Melbourne VIC, Australia. pp.2261-2264, ⟨10.1109/ISCAS.2014.6865621⟩. ⟨hal-02047786⟩



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