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A Spiking Neural Network Based Cortex-Like Mechanism and Application to Facial Expression Recognition
Joint Authors
Yang, Guo-Sheng
Fu, Si-Yao
Kuai, Xin-Kai
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In this paper, we present a quantitative, highly structured cortex-simulated model, which can be simply described as feedforward, hierarchical simulation of ventral stream of visual cortex using biologically plausible, computationally convenient spiking neural network system.
The motivation comes directly from recent pioneering works on detailed functional decomposition analysis of the feedforward pathway of the ventral stream of visual cortex and developments on artificial spiking neural networks (SNNs).
By combining the logical structure of the cortical hierarchy and computing power of the spiking neuron model, a practical framework has been presented.
As a proof of principle, we demonstrate our system on several facial expression recognition tasks.
The proposed cortical-like feedforward hierarchy framework has the merit of capability of dealing with complicated pattern recognition problems, suggesting that, by combining the cognitive models with modern neurocomputational approaches, the neurosystematic approach to the study of cortex-like mechanism has the potential to extend our knowledge of brain mechanisms underlying the cognitive analysis and to advance theoretical models of how we recognize face or, more specifically, perceive other people’s facial expression in a rich, dynamic, and complex environment, providing a new starting point for improved models of visual cortex-like mechanism.
American Psychological Association (APA)
Fu, Si-Yao& Yang, Guo-Sheng& Kuai, Xin-Kai. 2012. A Spiking Neural Network Based Cortex-Like Mechanism and Application to Facial Expression Recognition. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-510402
Modern Language Association (MLA)
Fu, Si-Yao…[et al.]. A Spiking Neural Network Based Cortex-Like Mechanism and Application to Facial Expression Recognition. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-510402
American Medical Association (AMA)
Fu, Si-Yao& Yang, Guo-Sheng& Kuai, Xin-Kai. A Spiking Neural Network Based Cortex-Like Mechanism and Application to Facial Expression Recognition. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-510402
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510402