Literature DB >> 1521602

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

M Siebler1, H Köller, G Rose, H W Müller.   

Abstract

Spontaneous activity and rhythmical oscillations are common features of large neuronal networks in mammals. Detection of repetitive spike patterns or pacemaker activity during electrophysiological recording of spontaneous action potentials from single neurons can be difficult if a "noisy" background is present. This paper describes an improved method for an online spike train analysis based on joint interval histograms (JIH, Rodiek et al. 1962). By means of higher ordered JIH the discrimination of spike patterns with repetitive bursting activity or oscillations is possible even when randomly distributed action potentials appear. Examples of simulated spike trains and those recorded from cultured hippocampal neurons are presented.

Mesh:

Year:  1992        PMID: 1521602     DOI: 10.1007/bf00229265

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  20 in total

1.  Spontaneous neuronal firing patterns in fetal rat cortical networks during development in vitro: a quantitative analysis.

Authors:  A M Habets; A M Van Dongen; F Van Huizen; M A Corner
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

2.  Normalized auto- and cross-covariance functions for neuronal spike train analysis.

Authors:  X S Shao; P X Chen
Journal:  Int J Neurosci       Date:  1987-05       Impact factor: 2.292

3.  Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches.

Authors:  O P Hamill; A Marty; E Neher; B Sakmann; F J Sigworth
Journal:  Pflugers Arch       Date:  1981-08       Impact factor: 3.657

4.  Favored patterns in spike trains. I. Detection.

Authors:  J E Dayhoff; G L Gerstein
Journal:  J Neurophysiol       Date:  1983-06       Impact factor: 2.714

5.  A note on the use of serial measures in spike train analysis and their relation to the corresponding moments.

Authors:  D Schild
Journal:  Int J Neurosci       Date:  1983       Impact factor: 2.292

6.  Identification of endogenous and exogenous activity in a molluscan neurone by spike train analysis.

Authors:  A V Holden; S M Ramadan
Journal:  Biol Cybern       Date:  1980       Impact factor: 2.086

7.  Automated analysis of rhythmicity of physiologically identified hippocampal formation neurons.

Authors:  B H Bland; P Andersen; T Ganes; O Sveen
Journal:  Exp Brain Res       Date:  1980-01       Impact factor: 1.972

8.  A neurotrophic factor (NTF) released from primary glial cultures supports survival and fiber outgrowth of cultured hippocampal neurons.

Authors:  H W Müller; W Seifert
Journal:  J Neurosci Res       Date:  1982       Impact factor: 4.164

9.  Astroglia-released neurite growth-inducing activity for embryonic hippocampal neurons is associated with laminin bound in a sulfated complex and free fibronectin.

Authors:  H P Matthiessen; C Schmalenbach; H W Müller
Journal:  Glia       Date:  1989       Impact factor: 7.452

Review 10.  On the description of neuronal output properties using spike train data.

Authors:  F Awiszus
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

View more
  2 in total

1.  Rhythmically firing (20-50 Hz) neurons in monkey primary somatosensory cortex: activity patterns during initiation of vibratory-cued hand movements.

Authors:  M A Lebedev; R J Nelson
Journal:  J Comput Neurosci       Date:  1995-12       Impact factor: 1.621

2.  High-frequency vibratory sensitive neurons in monkey primary somatosensory cortex: entrained and nonentrained responses to vibration during the performance of vibratory-cued hand movements.

Authors:  M A Lebedev; R J Nelson
Journal:  Exp Brain Res       Date:  1996-10       Impact factor: 1.972

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.