Title :
Correlation integral estimated from a spike train
Author :
Suzuki, Hideyuki ; Aihara, Kazuyuki
Author_Institution :
Dept. of Math. Eng., Tokyo Univ., Japan
Abstract :
We propose a new method to calculate the correlation integral from a spike train produced by a dynamical system. Our method is based on the idea of metric space of spike trains. Compared with interspike interval reconstruction, our method practically gives a better estimation of the correlation integral of the combined system of the original system and the neuron model
Keywords :
neural nets; correlation integral estimation; dynamical system; metric space; neuron model; spike train; Intersymbol interference; Neurons; Timing;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.843956
