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Compact analog temporal edge detector circuit with programmable adaptive threshold for neuromorphic vision sensors


Mandloi, N K; Indiveri, G; Bartolozzi, C (2014). Compact analog temporal edge detector circuit with programmable adaptive threshold for neuromorphic vision sensors. IEEE Transactions on Circuits and Systems - Part I: Regular Papers, 61(11):3094 - 3104.

Abstract

This paper presents a low-power compact analog circuit for processing time varying signals. The proposed circuit implements temporal differentiation, amplification and rectification, i.e., separation of outputs into on and off pathways. It is based on a hysteretic differentiator circuit, commonly used in neuromorphic vision sensors to implement temporal edge detection. This paper presents a thorough analysis of the original circuit and identifies the source of the problems and limitations it has for processing real-world sensory signals. The steps required to solve this problem are presented as well as an extended circuit with tunable gain and adaptable threshold that allows thresholding of small temporal changes (noise) and high-pass filtering of large temporal changes. The new circuit proposed is particularly suited for focal plane implementation of both gradient based and token based motion algorithms that require robust detection of temporal discontinuities. The circuit has been designed and successfully integrated into a 64 × 1 test prototype motion chip, fabricated in standard 350 nm CMOS technology. The paper provides extensive experimental characterization results.

Abstract

This paper presents a low-power compact analog circuit for processing time varying signals. The proposed circuit implements temporal differentiation, amplification and rectification, i.e., separation of outputs into on and off pathways. It is based on a hysteretic differentiator circuit, commonly used in neuromorphic vision sensors to implement temporal edge detection. This paper presents a thorough analysis of the original circuit and identifies the source of the problems and limitations it has for processing real-world sensory signals. The steps required to solve this problem are presented as well as an extended circuit with tunable gain and adaptable threshold that allows thresholding of small temporal changes (noise) and high-pass filtering of large temporal changes. The new circuit proposed is particularly suited for focal plane implementation of both gradient based and token based motion algorithms that require robust detection of temporal discontinuities. The circuit has been designed and successfully integrated into a 64 × 1 test prototype motion chip, fabricated in standard 350 nm CMOS technology. The paper provides extensive experimental characterization results.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2014
Deposited On:25 Feb 2015 10:17
Last Modified:14 Feb 2018 23:12
Publisher:Institute of Electrical and Electronics Engineers
Number of Pages:11
ISSN:1057-7122
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/TCSI.2014.2334812

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