Estimation of symmetric chi-square divergence for point processes

Il Park, Sohan Seth, Murali Rao, José Carlos Principe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationAcoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Pages2016-2019
Number of pages4
ISBN (Electronic)978-1-4577-0537-3
DOIs
Publication statusPublished - 2011

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