Articles | Volume 11, issue 2
https://doi.org/10.5194/jsss-11-233-2022
https://doi.org/10.5194/jsss-11-233-2022
Regular research article
 | 
10 Aug 2022
Regular research article |  | 10 Aug 2022

Design of a CMOS memristor emulator-based, self-adaptive spiking analog-to-digital data conversion as the lowest level of a self-x hierarchy

Hamam Abd and Andreas König

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Short summary
We pursue a promising novel self-adaptive spiking neural analog-to-digital data conversion (SN-ADC) design that uses spike time to carry information. Thus, SN-ADC can be effectively translated to aggressive new technologies to implement reliable advanced sensory electronic systems. The SN-ADC supports self-x (self-calibration, self-optimization, and self-healing) and machine learning required for the internet of things and Industry 4.0 and is based on a self-adaptive CMOS memristor.