ReviewSensors (Basel, Switzerland)2017
An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 40 citations in OpenAlex.
- Artificial sensory system based on memristive devices.Exploration (Beijing, China) · 2024Review
- Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring.Sensors (Basel, Switzerland) · 2022Article
- Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts.Sensors (Basel, Switzerland) · 2022Article
- Autonomous Flying With Neuromorphic Sensing.Frontiers in neuroscience · 2021Article
- Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review.Frontiers in neural circuits · 2021Review
- Optical Axons for Electro-Optical Neural Networks.Sensors (Basel, Switzerland) · 2020Article
- Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification.Sensors (Basel, Switzerland) · 2020Article
- Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review.Sensors (Basel, Switzerland) · 2020Review
- A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data.Sensors (Basel, Switzerland) · 2019Article
- Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks.Sensors (Basel, Switzerland) · 2019Article
- Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.