An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems motivate the application of the hierarchical struc...

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Veröffentlicht in:	PloS one Jg. 11; H. 4; S. e0150329
Hauptverfasser:	Xie, Xiurui, Qu, Hong, Liu, Guisong, Zhang, Malu, Kurths, Jürgen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 04.04.2016 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Animals Artificial neural networks Back propagation Biology and Life Sciences Coding Cognition - physiology Cognitive ability Cognitive tasks Computation Computational neuroscience Computer and Information Sciences Data processing Efficiency Electric potential Feedforward Firing pattern Humans Information processing Machine Learning Medicine and Health Sciences Models, Neurological Nerve Net - physiology Neural networks Neurons Parameter sensitivity Parameters Pattern recognition Physical Sciences Physiological aspects Physiology Propagation Quadratic equations Research and Analysis Methods Sensitivity Spiking Structural hierarchy Teaching methods Training Vibration Voltage China Germany
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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