Nonlinear Theory and Its Applications, IEICE
Online ISSN : 2185-4106
Special Section on Complex Systems Modelling and its Transdisciplinary Applications
Method for analyzing time-varying statistics on point process data with multiple trials
Kantaro FujiwaraHideyuki SuzukiTohru IkeguchiKazuyuki Aihara
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Volume 6 (2015) Issue 1 Pages 38-46

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Abstract

Many stochastic systems require multiple trials to estimate their time-varying statistics. Time-varying statistics are often estimated by employing a time window of a certain length over trials. However, no standardized method exists for estimating time-varying statistics. In this paper, we propose an analysis method for measuring time-varying statistics that can be applied to point process data with multiple trials, such as neural spike trains.

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© 2015 The Institute of Electronics, Information and Communication Engineers
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