Literature DB >> 3492221

Representation of time-dependent correlation and recurrence time functions. A new method to analyse non-stationary point processes.

I H van Stokkum, P I Johannesma, J J Eggermont.   

Abstract

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.

Mesh:

Year:  1986        PMID: 3492221     DOI: 10.1007/BF00363974

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  9 in total

1.  Sensitivity of neurons in the auditory midbrain of the grassfrog to temporal characteristics of sound. I. Stimulation with acoustic clicks.

Authors:  W J Epping; J J Eggermont
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

2.  Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains.

Authors:  D H Perkel; G L Gerstein; G P Moore
Journal:  Biophys J       Date:  1967-07       Impact factor: 4.033

3.  Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis.

Authors:  G L Gerstein; D H Perkel
Journal:  Biophys J       Date:  1972-05       Impact factor: 4.033

4.  Sensitivity of neurons in the auditory midbrain of the grassfrog to temporal characteristics of sound. III. Stimulation with natural and synthetic mating calls.

Authors:  J J Eggermont; W J Epping
Journal:  Hear Res       Date:  1986       Impact factor: 3.208

5.  Single-unit characteristics in the auditory midbrain of the immobilized grassfrog.

Authors:  W J Epping; J J Eggermont
Journal:  Hear Res       Date:  1985-06       Impact factor: 3.208

Review 6.  Reverse-correlation methods in auditory research.

Authors:  J J Eggermont; P M Johannesma; A M Aertsen
Journal:  Q Rev Biophys       Date:  1983-08       Impact factor: 5.318

7.  Stimulus dependent neural correlations in the auditory midbrain of the grassfrog (Rana temporaria L.).

Authors:  J J Eggermont; W J Epping; A M Aertsen
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

8.  Colour representation of biomedical data.

Authors:  J P de Valk; W J Epping; A Heringa
Journal:  Med Biol Eng Comput       Date:  1985-07       Impact factor: 2.602

9.  Evaluation of neuronal coupling dynamics.

Authors:  J Schneider; R Eckhorn; H Reitböck
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

  9 in total
  1 in total

1.  Identification of connectivity in neural networks.

Authors:  X W Yang; S A Shamma
Journal:  Biophys J       Date:  1990-05       Impact factor: 4.033

  1 in total

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