Literature DB >> 526483

Empirical examination of the threshold model of neuron firing.

D R Brillinger, J P Segundo.   

Abstract

An elementary model of neuronal activity involves temporal and spatial summation of postsynaptic currents that are elicited by presynaptic spikes and that, in turn, elicit postsynaptic potentials at a trigger zone; when the potential at the trigger zone exceeds a "threshold" level, a postsynaptic spike is generated. This paper describes three methods of estimating the "summation function", that is, the function of time that converts the synaptic current into potential at the trigger zone: namely, maximum likelihood, cross-correlation analysis and cross-spectral analysis. All three methods, when applied to input-output data collected on various neurons of Aplysia californica, give comparable results. As estimated, the summation function involved in the explored cells has an early positive-going swing that is large and brief. In the cell L5, but not in R2, there was also a late negative-going swing of longer duration.

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Year:  1979        PMID: 526483     DOI: 10.1007/BF00344204

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


  6 in total

1.  The response of a model neurone to a white noise input.

Authors:  J E Rubio; A V Holden
Journal:  Biol Cybern       Date:  1975-09-18       Impact factor: 2.086

2.  Potential changes in syncytial neurons of lobster cardiac ganglion.

Authors:  S HAGIWARA; A WATANABE; N SAITO
Journal:  J Neurophysiol       Date:  1959-09       Impact factor: 2.714

3.  Spike initiation by transmembrane current: a white-noise analysis.

Authors:  H L Bryant; J P Segundo
Journal:  J Physiol       Date:  1976-09       Impact factor: 5.182

4.  Correlations of neuronal spike discharges produced by monosynaptic connections and by common inputs.

Authors:  H L Bryant; A R Marcos; J P Segundo
Journal:  J Neurophysiol       Date:  1973-03       Impact factor: 2.714

5.  Cross-correlation functions for a neuronal model.

Authors:  C K Knox
Journal:  Biophys J       Date:  1974-08       Impact factor: 4.033

6.  Triggered correlation.

Authors:  R de Boer; P Kuyper
Journal:  IEEE Trans Biomed Eng       Date:  1968-07       Impact factor: 4.538

  6 in total
  4 in total

1.  Predicting spike timing of neocortical pyramidal neurons by simple threshold models.

Authors:  Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

2.  The parameters of the stochastic leaky integrate-and-fire neuronal model.

Authors:  Petr Lansky; Pavel Sanda; Jufang He
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

3.  Maximum likelihood analysis of spike trains of interacting nerve cells.

Authors:  D R Brillinger
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

4.  The maximum likelihood approach to the identification of neuronal firing systems.

Authors:  D R Brillinger
Journal:  Ann Biomed Eng       Date:  1988       Impact factor: 3.934

  4 in total

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