Representation of time-dependent correlation and recurrence time functions
type: Item
instance of: scholarly article
title: Representation of time-dependent correlation and recurrence time functions
zbMATH Open document ID: 0602.92002
DOI: 10.1007/BF00363974
published in: Biological Cybernetics
publication date: 1986-01-01T00:00:00Z
review text: Correlation functions based on time averaging are not suited to study non-stationary point processes (e.g. the electric organ discharge activity of weakly-electric pulse fish). To overcome this problem, we present here a time-dependent correlation method, which can also be applied to study complicated correlations of moderately non-stationary point processes (e.g. neuronal spike trains). Indication of recurrence time aspects of the point processes provides a more complete representation of the correlation functions. In addition higher order correlations between two point processes are represented.
Mathematics Subject Classification ID: 92-08
Mathematics Subject Classification ID: 92Cxx
Mathematics Subject Classification ID: 62M99
zbMATH DE Number: 3972687
zbMATH Keywords: neurophysiology
zbMATH Keywords: pulse trains
zbMATH Keywords: elephant-nose fish
zbMATH Keywords: electric organ discharges
zbMATH Keywords: time-dependent correlation method
zbMATH Keywords: non-stationary point processes
zbMATH Keywords: neuronal spike trains
author: Ivo H. M. van Stokkum
author: Peter I. M. Johannesma
author: Jos J. Eggermont
MaRDI profile type: Publication
Wikidata QID: Q48407830
full work available at URL: https://doi.org/10.1007/bf00363974
OpenAlex ID: W2025359225
description: scientific article; zbMATH DE number 3972687