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Sensors 2017, 17(11), 2591;

An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems

School of Engineering, Edith Cowan University, 6027 Perth, Australia
Author to whom correspondence should be addressed.
Received: 29 September 2017 / Revised: 6 November 2017 / Accepted: 7 November 2017 / Published: 10 November 2017
(This article belongs to the Special Issue Electronic Tongues and Electronic Noses)
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The implementation of neuromorphic methods has delivered promising results for vision and auditory sensors. These methods focus on mimicking the neuro-biological architecture to generate and process spike-based information with minimal power consumption. With increasing interest in developing low-power and robust chemical sensors, the application of neuromorphic engineering concepts for electronic noses has provided an impetus for research focusing on improving these instruments. While conventional e-noses apply computationally expensive and power-consuming data-processing strategies, neuromorphic olfactory sensors implement the biological olfaction principles found in humans and insects to simplify the handling of multivariate sensory data by generating and processing spike-based information. Over the last decade, research on neuromorphic olfaction has established the capability of these sensors to tackle problems that plague the current e-nose implementations such as drift, response time, portability, power consumption and size. This article brings together the key contributions in neuromorphic olfaction and identifies future research directions to develop near-real-time olfactory sensors that can be implemented for a range of applications such as biosecurity and environmental monitoring. Furthermore, we aim to expose the computational parallels between neuromorphic olfaction and gustation for future research focusing on the correlation of these senses. View Full-Text
Keywords: neuromorphic olfaction; electronic nose; biomimetic sensors neuromorphic olfaction; electronic nose; biomimetic sensors

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Vanarse, A.; Osseiran, A.; Rassau, A. An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems. Sensors 2017, 17, 2591.

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