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
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;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596459
