DocumentCode
2488820
Title
Correlation detection with firing rate estimation based on temporal coincidence coding
Author
Wang, Xu ; Cao, Zhi-Qiang ; Hou, Zeng-Guang ; Cheng, Long ; Tan, Min
Author_Institution
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
6
Abstract
In this paper, the firing rate of the neuron based on temporal coincidence coding is estimated for correlation detection. Two cases are considered: the independent inputs are stochastic spike trains that are modeled by the homogeneous Poisson process or the renew process. The situation that the inputs are correlated is also considered and the conditions for the neuron to detect the correlation among inputs are discussed. The results are demonstrated by the simulations.
Keywords
correlation methods; encoding; neural nets; stochastic processes; correlation detection; firing rate estimation; homogeneous Poisson process; renew process; spiking neural network; stochastic spike trains; temporal coincidence coding; Correlation; Encoding; Equations; Estimation; Exponential distribution; Mathematical model; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596459
Filename
5596459
Link To Document