Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory pathway. While the transformation is pivotal for the sparse spike-based representation of odor data, classification techniques based on the bio-c...

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Bibliographic Details
Main Authors: Anup Vanarse, Josafath Israel Espinosa-Ramos, Adam Osseiran, Alexander Rassau, Nikola Kasabov
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
biomimetic pattern-recognition
neuromorphic olfaction
electronic nose systems
spiking neural networks (SNNs)
SNN-based classification
Online Access:https://www.mdpi.com/1424-8220/20/10/2756

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https://www.mdpi.com/1424-8220/20/10/2756

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