DocumentCode :
551191
Title :
Spiking neural networks and its application for mobile robots
Author :
Wang Xiuqing ; Hou Zeng-Guang ; Tan Min ; Wang Yongji ; Huang Zhanhua
Author_Institution :
Hebei Normal Univ., Shijiazhuang, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4133
Lastpage :
4138
Abstract :
In this paper, the third generation neural network- Spiking neural networks (SNNs) are introduced. SNNs´ origination, characteristic, coding, the training methods, and the models of Spiking neurons and synaptics are also discussed. A survey for SNNs´ research and application in mobile robots is made. Because of SNNs´ unique characteristic: good biological plausibility, Spiking neurons involving both temporal and spatial information, faster and more efficiently computing, good robustness and easy implementation by hardware, SNNs have been used in mobile robots´ control, environment perception and robots´ vision successfully.
Keywords :
mobile robots; neurocontrollers; biological plausibility; characteristic methods; coding methods; environment perception; mobile robots; robot vision; spatial information; spiking neural networks; spiking neurons; spiking synaptics; temporal information; third generation neural network; training methods; Biological information theory; Biological neural networks; Computational modeling; Electronic mail; Encoding; Mobile robots; Neurons; Control; Mobile robots; Spike; Spiking Neural Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001535
Link To Document :
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