Revisiting memristor properties. (English) Zbl 1484.92007
Summary: Memristor is a natural synapse because of its nanoscale and memory property, which influences the performance of memristive artificial neural networks. A three-variable memristor model is simplified with 15 kinds of properties, including the learning experience, the forgetting curve, the spiking time-dependent plasticity (STDP), the spiking rate dependent plasticity (SRDP), and the integration property. Through the analysis of the model, one more unobserved property called pseudo-polarity reversibility property is predicted by assuming the long-term memory is independent of memductance.
MSC:
| 92B20 | Neural networks for/in biological studies, artificial life and related topics |
| 94C60 | Circuits in qualitative investigation and simulation of models |
Keywords:
forgetting memristor; anti-SEF forgetting curve; pseudo-polarity reversibility property; window functionReferences:
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