Browsing by Author "Rapoport, Alan"

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    Mimicking spike-timing-dependent plasticity with emulated memristors
    (2019-05-07) Cisternas Ferri, Agustín; Rapoport, Alan; Fierens, Pablo Ignacio; Patterson, Germán
    "Memristors have found application in neuromorphic circuits and it has been shown that, under certain conditions, they may mimic the behavior of neuronal synapses. Experimenting with memristor-based synapses has several problems. Indeed, memristor samples are difficult to obtain and tweaking their parameters to adapt their behavior requires a long fabrication and testing process. For this reason, simulation and emulation become attractive alternatives for the study of memristive systems. We postulate that emulation has the advantage of working with real-world circuits and not stylized simulation models. In this paper, we propose a basic memristor emulation architecture and show that it can be used to mimic certain characteristics of synapses."
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    On the application of a diffusive memristor compact model to neuromorphic circuits
    (2019) Cisternas Ferri, Agustín; Rapoport, Alan; Fierens, Pablo Ignacio; Patterson, Germán; Miranda, Enrique; Suñé, Jordi
    "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."