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Nonlinear Theory and Its Applications, IEICE
Vol. 6 (2015) No. 1 pp. 38-46



Special Section on Complex Systems Modelling and its Transdisciplinary Applications

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.

Copyright © 2015 The Institute of Electronics, Information and Communication Engineers

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