Literature DB >> 2775799

A method of neuronal spike train study based on autoregressive analysis.

L Liu1.   

Abstract

The method of autoregressive (AR) analysis for neuronal spike trains (NST) is proposed in the paper. The AR model and the Green's function as well as the power spectral density function are used to process and analyse the neuronal interspike interval (ISI) sequences of cat's first somatosensory area of cortex (SI area) under various situations. With these methods the characteristics of the ISI sequence such as the AR order and parameters, memory property, correlativity and periodicity etc. can be extracted.

Mesh:

Year:  1989        PMID: 2775799     DOI: 10.1007/BF00203176

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


  4 in total

1.  AUTO- AND CROSS-CORRELATION ANALYSIS OF THE ELECTRICAL ACTIVITY OF MUSCLES.

Authors:  R S PERSON; L N MISHIN
Journal:  Med Electron Biol Eng       Date:  1964-04

2.  An approach to the quantitative analysis of electrophysiological data from single neurons.

Authors:  G L GERSTEIN; N Y KIANG
Journal:  Biophys J       Date:  1960-09       Impact factor: 4.033

3.  Analysis of interval fluctuation of the sensory nerve impulse.

Authors:  S HAGIWARA
Journal:  Jpn J Physiol       Date:  1954-09-01

4.  Some quantitative methods for the study of spontaneous activity of single neurons.

Authors:  R W RODIECK; N Y KIANG; G L GERSTEIN
Journal:  Biophys J       Date:  1962-07       Impact factor: 4.033

  4 in total
  1 in total

1.  An improved graphical method for pattern recognition from spike trains of spontaneously active neurons.

Authors:  M Siebler; H Köller; G Rose; H W Müller
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

  1 in total

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