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Window Functions and Sigmoidal Behaviour of Memristive Systems by Georgiou, Panayiotis S.; Yaliraki, Sophia N.; Drakakis, Emmanuel M.; Barahona, Mauricio is a scholarly article available to read on EtoBox.

What is Window Functions and Sigmoidal Behaviour of Memristive Systems about?

A common approach to model memristive systems is to include empirical window functions to describe edge effects and non-linearities in the change of the memristance. We demonstrate that under quite general conditions, each window function can be associated with a sigmoidal curve relating the normalised time-dependent memristance to the time integral of the input. Conversely, this explicit relation allows us to derive window functions suitable for the mesoscopic modelling of memristive systems from a variety of well-known sigmoidals. Such sigmoidal curves are defined in terms of measured variables and can thus be extracted from input and output signals of a device and then transformed to its corresponding window. We also introduce a new generalised window function that allows the flexible modelling of asymmetric edge effects in a simple manner.

Author

Georgiou, Panayiotis S.; Yaliraki, Sophia N.; Drakakis, Emmanuel M.; Barahona, Mauricio

Published

2016

Language

EN