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Estimation of symmetric chi-square divergence for point processes

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4 Author(s)
Il Park ; Dept. of Biomed. Eng., Univ. of Florida, Gainesville, FL, USA ; Seth, S. ; Rao, M. ; Principe, J.C.

This paper addresses the estimation of symmetric χ2-divergence between two point processes. We propose a novel approach by, first, mapping the space of spike trains in an appropriate functional space, and then, estimating the divergence in this functional space using a least square regression approach. We compare the proposed approach with other available methods on simulated data, and discuss its pros and cons.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011

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