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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書誌詳細

主要な著者:	Anup Vanarse, Josafath Israel Espinosa-Ramos, Adam Osseiran, Alexander Rassau, Nikola Kasabov
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-05-01
シリーズ:	Sensors
主題:	biomimetic pattern-recognition neuromorphic olfaction electronic nose systems spiking neural networks (SNNs) SNN-based classification
オンライン･アクセス:	https://www.mdpi.com/1424-8220/20/10/2756
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