@article {Kavehei:2013:1533-4880:3638,
title = "Integrated Memristor-MOS (M2) Sensor for Basic Pattern Matching Applications",
journal = "Journal of Nanoscience and Nanotechnology",
parent_itemid = "infobike://asp/jnn",
publishercode ="asp",
year = "2013",
volume = "13",
number = "5",
publication date ="2013-05-01T00:00:00",
pages = "3638-3640",
itemtype = "ARTICLE",
issn = "1533-4880",
eissn = "1533-4899",
url = "https://www.ingentaconnect.com/content/asp/jnn/2013/00000013/00000005/art00092",
doi = "doi:10.1166/jnn.2013.7295",
author = "Kavehei, Omid and Cho, Kyoung-Rok and Lee, Sang-Jin and Al-Sarawi, Said and Eshraghian, Kamran and Abbott, Derek",
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.",
}