An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems
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-po...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/17/11/2591 |
| _version_ | 1817993664618561536 |
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| author | Anup Vanarse Adam Osseiran Alexander Rassau |
| author_facet | Anup Vanarse Adam Osseiran Alexander Rassau |
| author_sort | Anup Vanarse |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T01:42:48Z |
| format | Article |
| id | doaj.art-05d4311ba28344bf993e3efa30485358 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:42:48Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-05d4311ba28344bf993e3efa304853582022-12-22T02:19:40ZengMDPI AGSensors1424-82202017-11-011711259110.3390/s17112591s17112591An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory SystemsAnup Vanarse0Adam Osseiran1Alexander Rassau2School of Engineering, Edith Cowan University, 6027 Perth, AustraliaSchool of Engineering, Edith Cowan University, 6027 Perth, AustraliaSchool of Engineering, Edith Cowan University, 6027 Perth, AustraliaThe 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.https://www.mdpi.com/1424-8220/17/11/2591neuromorphic olfactionelectronic nosebiomimetic sensors |
| spellingShingle | Anup Vanarse Adam Osseiran Alexander Rassau An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems Sensors neuromorphic olfaction electronic nose biomimetic sensors |
| title | An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems |
| title_full | An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems |
| title_fullStr | An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems |
| title_full_unstemmed | An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems |
| title_short | An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems |
| title_sort | investigation into spike based neuromorphic approaches for artificial olfactory systems |
| topic | neuromorphic olfaction electronic nose biomimetic sensors |
| url | https://www.mdpi.com/1424-8220/17/11/2591 |
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