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Updated: May 9, 2026

A Method for Growing Bio-memristors from Slime Mold
Published on: November 2, 2017
Integrated memristor-MOS (M2) sensor for basic pattern matching applications
Omid Kavehei1, Kyoung-Rok Cho, Sang-Jin Lee
1Centre for Neural Engineering, The University of Melbourne, Vic 3010, Australia.
Abstract:
This paper introduces an integrated sensor circuit based on an analog Memristor-MOS (M2) pattern matching building block that calculates the similarity/dissimilarity between two analog values. A new approach for a pulse-width modulation pixel image sensor compatible with the memristive-MOS matching structure is introduced allowing direct comparison between incoming and stored images. The pulsed-width encoded information from the pixels is forwarded to a matching circuitry that provides an anti-Gaussian-like comparison between the states of memristors. The non-volatile and multi-state memory characteristics of memristor, together with the related ability to be programmed at any one of the intermediate states between logic '1' and logic '0' brings us closer to the implementation of bio-machines that can eventually emulate human-like sensory functions.
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