Document Type

Journal Article

Publisher

Frontiers Research Foundation

School

School of Engineering

RAS ID

21769

Comments

Originally published as : Vanarse, Anup (03.2016). "A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors". Frontiers in neuroscience (1662-4548), 51 (178), p. 667. Article available here

Abstract

Conventional vision, auditory, and olfactory sensors generate large volumes of redundant data and as a result tend to consume excessive power. To address these shortcomings, neuromorphic sensors have been developed. These sensors mimic the neuro-biological architecture of sensory organs using aVLSI (analog Very Large Scale Integration) and generate asynchronous spiking output that represents sensing information in ways that are similar to neural signals. This allows for much lower power consumption due to an ability to extract useful sensory information from sparse captured data. The foundation for research in neuromorphic sensors was laid more than two decades ago, but recent developments in understanding of biological sensing and advanced electronics, have stimulated research on sophisticated neuromorphic sensors that provide numerous advantages over conventional sensors. In this paper, we review the current state-of-the-art in neuromorphic implementation of vision, auditory, and olfactory sensors and identify key contributions across these fields. Bringing together these key contributions we suggest a future research direction for further development of the neuromorphic sensing field. © 2016 Vanarse, Osseiran and Rassau.

DOI

10.3389/fnins.2016.00115

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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