Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification

Title
Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification
Authors
Keywords
Electronic nose, McNemar’s test, Spiking neural network, Tea, Spike latency coding, Dynamically evolving spiking neural networks
Journal
NEURAL NETWORKS
Volume 71, Issue -, Pages 142-149
Publisher
Elsevier BV
Online
2015-08-24
DOI
10.1016/j.neunet.2015.07.014

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