DocumentCode :
184797
Title :
Event-driven simulation of the tempotron spiking neuron
Author :
Bo Zhao ; Qiang Yu ; Ruoxi Ding ; Shoushun Chen ; Huajin Tang
Author_Institution :
Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
fYear :
2014
fDate :
22-24 Oct. 2014
Firstpage :
667
Lastpage :
670
Abstract :
This paper presents an event-driven method for the simulation of the tempotron spiking neuron. We propose an efficient dummy-spike-based approach to deal with the two-exponential decay postsynaptic potential kernel. Experimental results show that event-driven simulation runs much faster than conventional time-driven simulation. We also propose a simple but efficient method to solve a same-timestamp problem encountered in event-driven simulation of a simplified tempotron neuron which uses only single-exponential decay.
Keywords :
bioelectric potentials; neurophysiology; dummy spike based approach; event driven simulation; tempotron spiking neuron; two exponential decay postsynaptic potential kernel; Biological system modeling; Computational modeling; Integrated circuit modeling; Kernel; Neurons; Spatiotemporal phenomena; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
Type :
conf
DOI :
10.1109/BioCAS.2014.6981814
Filename :
6981814
Link To Document :
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