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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Control Conference (CCC), 2011 30th Chinese
         
        
            Conference_Location : 
Yantai
         
        
        
            Print_ISBN : 
978-1-4577-0677-6
         
        
            Electronic_ISBN : 
1934-1768