Literature DB >> 208679

The relationship of post-stimulus time and interval histograms to the timing characteristics of spike trains.

D H Johnson.   

Abstract

PST (post-stimulus time) and interval histograms computed from recorded spike trains are related to an average timing characteristics of the spike train. The exact nature of this relationship varies with recording parameters, interfering signals, the histogram bin width, and the duration of the measurement interval. This work describes the conditions under which a PST histogram can serve as an unbiased estimate of the ensemble average of a spike train's intensity and an interval histogram can serve as an unbiased estimate of the probability density function of the interspike intervals. Simulation studies are used to confirm the validity of the theoretical results. As an example of an application, these results are used to analyze recordings of singleunit activity in the eight cranial nerve.

Mesh:

Year:  1978        PMID: 208679      PMCID: PMC1473474          DOI: 10.1016/S0006-3495(78)85496-4

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  4 in total

1.  Sequential interval histogram analysis of non-stationary neuronal spike trains.

Authors:  A C Sanderson; B Kobler
Journal:  Biol Cybern       Date:  1976-03-30       Impact factor: 2.086

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

3.  Phase-locked response to low-frequency tones in single auditory nerve fibers of the squirrel monkey.

Authors:  J E Rose; J F Brugge; D J Anderson; J E Hind
Journal:  J Neurophysiol       Date:  1967-07       Impact factor: 2.714

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Authors:  T F Weiss; W T Peake; H S Sohmer
Journal:  J Acoust Soc Am       Date:  1971-08       Impact factor: 1.840

  4 in total
  10 in total

1.  A unified mechanism for spontaneous-rate and first-spike timing in the auditory nerve.

Authors:  B Suresh Krishna
Journal:  J Comput Neurosci       Date:  2002 Sep-Oct       Impact factor: 1.621

2.  Auditory sensitivity may require dynamically unstable spike generators: evidence from a model of electrical stimulation.

Authors:  David E O'Gorman; H Steven Colburn; Christopher A Shera
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

3.  Point process models of single-neuron discharges.

Authors:  D H Johnson
Journal:  J Comput Neurosci       Date:  1996-12       Impact factor: 1.621

4.  MEAnalyzer - a Spike Train Analysis Tool for Multi Electrode Arrays.

Authors:  Raha M Dastgheyb; Seung-Wan Yoo; Norman J Haughey
Journal:  Neuroinformatics       Date:  2020-01

5.  Neural coding and perception of auditory motion direction based on interaural time differences.

Authors:  Nathaniel J Zuk; Bertrand Delgutte
Journal:  J Neurophysiol       Date:  2019-08-28       Impact factor: 2.714

6.  Phase Locking of Auditory-Nerve Fibers Reveals Stereotyped Distortions and an Exponential Transfer Function with a Level-Dependent Slope.

Authors:  Adam J Peterson; Peter Heil
Journal:  J Neurosci       Date:  2019-03-13       Impact factor: 6.167

7.  Recurrence quantification analysis of surface EMG detects changes in motor unit synchronization induced by recurrent inhibition.

Authors:  F Del Santo; F Gelli; R Mazzocchio; A Rossi
Journal:  Exp Brain Res       Date:  2006-10-20       Impact factor: 1.972

8.  Phase-locked responses of cochlear nucleus units to electrical stimulation through a cochlear implant.

Authors:  I Glass
Journal:  Exp Brain Res       Date:  1984       Impact factor: 1.972

9.  A mathematical model of the Pacinian corpuscle.

Authors:  F Grandori; A Pedotti
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

10.  A numerical method for computing interval distributions for an inhomogeneous Poisson point process modified by random dead times.

Authors:  Adam J Peterson
Journal:  Biol Cybern       Date:  2021-03-19       Impact factor: 2.086

  10 in total

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