title: Integrated memristor-MOS (M2) sensor for basic pattern matching applications.
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.
authors.affiliation: Centre for Neural Engineering, The University of Melbourne, Vic 3010, Australia.
authors.forename: Omid
authors.initials: O
authors.lastname: Kavehei
authors.forename: Kyoung-Rok
authors.initials: KR
authors.lastname: Cho
authors.forename: Sang-Jin
authors.initials: SJ
authors.lastname: Lee
authors.forename: Said
authors.initials: S
authors.lastname: Al-Sarawi
authors.forename: Kamran
authors.initials: K
authors.lastname: Eshraghian
authors.forename: Derek
authors.initials: D
authors.lastname: Abbott
mesh_terms: D032701:Biomimetics / Q000295:instrumentation*; D016248:Computer Storage Devices; D017097:Electric Impedance; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D018511:Systems Integration