Coincidence Detection Using Spiking Neurons with Application to Face Recognition
Joint Authors
Kamaruzaman, Fadhlan
Shafie, Amir Akramin
Mustafah, Yasir M.
Source
Journal of Applied Mathematics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-04
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
We elucidate the practical implementation of Spiking Neural Network (SNN) as local ensembles of classifiers.
Synaptic time constant τ s is used as learning parameter in representing the variations learned from a set of training data at classifier level.
This classifier uses coincidence detection (CD) strategy trained in supervised manner using a novel supervised learning method called τ s Prediction which adjusts the precise timing of output spikes towards the desired spike timing through iterative adaptation of τ s .
This paper also discusses the approximation of spike timing in Spike Response Model (SRM) for the purpose of coincidence detection.
This process significantly speeds up the whole process of learning and classification.
Performance evaluations with face datasets such as AR, FERET, JAFFE, and CK+ datasets show that the proposed method delivers better face classification performance than the network trained with Supervised Synaptic-Time Dependent Plasticity (STDP).
We also found that the proposed method delivers better classification accuracy than k nearest neighbor, ensembles of k NN, and Support Vector Machines.
Evaluation on several types of spike codings also reveals that latency coding delivers the best result for face classification as well as for classification of other multivariate datasets.
American Psychological Association (APA)
Kamaruzaman, Fadhlan& Shafie, Amir Akramin& Mustafah, Yasir M.. 2015. Coincidence Detection Using Spiking Neurons with Application to Face Recognition. Journal of Applied Mathematics،Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1067098
Modern Language Association (MLA)
Kamaruzaman, Fadhlan…[et al.]. Coincidence Detection Using Spiking Neurons with Application to Face Recognition. Journal of Applied Mathematics No. 2015 (2015), pp.1-20.
https://search.emarefa.net/detail/BIM-1067098
American Medical Association (AMA)
Kamaruzaman, Fadhlan& Shafie, Amir Akramin& Mustafah, Yasir M.. Coincidence Detection Using Spiking Neurons with Application to Face Recognition. Journal of Applied Mathematics. 2015. Vol. 2015, no. 2015, pp.1-20.
https://search.emarefa.net/detail/BIM-1067098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067098