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An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems
Anup Vanarse1, Adam Osseiran2, Alexander Rassau3
1School of Engineering, Edith Cowan University, 6027 Perth, Australia. avanarse@our.ecu.edu.au.
Sensors (Basel, Switzerland)
|November 11, 2017
Summary
Neuromorphic olfactory sensors mimic biological systems for low-power chemical sensing, overcoming limitations of traditional electronic noses (e-noses). This research explores their potential for real-time applications in biosecurity and environmental monitoring.
Area of Science:
- Neuromorphic Engineering
- Chemical Sensing
- Artificial Olfaction
Background:
- Neuromorphic methods show promise for low-power sensory data processing.
- Conventional electronic noses (e-noses) face challenges with power consumption and data handling.
- Neuromorphic engineering offers a bio-inspired approach to chemical sensing.
Purpose of the Study:
- To review advancements in neuromorphic olfaction.
- To identify future research directions for improved olfactory sensors.
- To explore computational links between smell and taste.
Main Methods:
- Implementing neuromorphic engineering principles in electronic nose design.
- Mimicking biological olfaction mechanisms for spike-based information processing.
- Analyzing existing research on neuromorphic olfactory sensors.
Main Results:
- Neuromorphic olfactory sensors address limitations of conventional e-noses, including drift, response time, and power consumption.
- These sensors offer a path towards portable, low-power, and robust chemical sensing solutions.
- Established capability to tackle challenges in current e-nose implementations.
Conclusions:
- Neuromorphic olfaction presents a viable strategy for developing advanced, near-real-time olfactory sensors.
- Future research should focus on enhancing sensor capabilities and exploring cross-modal sensory correlations.
- Potential applications include biosecurity and environmental monitoring.
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