Literature DB >> 2380126

Rate fluctuations and fractional power-law noise recorded from cells in the lower auditory pathway of the cat.

M C Teich1, D H Johnson, A R Kumar, R G Turcott.   

Abstract

The noise properties of the sequence of action potentials recorded from adult-cat auditory nerve fibers and lateral superior olivary units have been investigated under various stimulus conditions. Large fluctuations exhibited by the spike rate, and spike clusters evident in the pulse-number distribution, both indicate an unusual underlying sequence of neural events. We present results demonstrating that (i) the firing rate calculated with different averaging times can exhibit self-similar behavior; (ii) the pulse-number distribution remains irregular even for large numbers of samples; (iii) the spike-number variance-to-mean ratio increases with the counting time T in fractional power-law fashion for sufficiently large T; and (iv) the exponent in the power law generally depends on the stimulus level. The results obtained in our laboratories support the notion that all auditory-nerve and LSO units exhibit fractal neural firing patterns, as indicated earlier by Teich (IEEE Trans. Biomed. Eng. 36, 150-160, 1989).

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Mesh:

Year:  1990        PMID: 2380126     DOI: 10.1016/0378-5955(90)90138-f

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  16 in total

1.  Nonrenewal statistics of electrosensory afferent spike trains: implications for the detection of weak sensory signals.

Authors:  R Ratnam; M E Nelson
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

2.  A point process framework for modeling electrical stimulation of the auditory nerve.

Authors:  Joshua H Goldwyn; Jay T Rubinstein; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

3.  The spontaneous-rate histogram of the auditory nerve can be explained by only two or three spontaneous rates and long-range dependence.

Authors:  B Scott Jackson; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2005-06-10

4.  Adaptation reduces spike-count reliability, but not spike-timing precision, of auditory nerve responses.

Authors:  Michael Avissar; Adam C Furman; James C Saunders; Thomas D Parsons
Journal:  J Neurosci       Date:  2007-06-13       Impact factor: 6.167

5.  General relation between variance-time curve and power spectral density for point processes exhibiting 1/f beta-fluctuations, with special reference to heart rate variability.

Authors:  R Scharf; M Meesmann; J Boese; D R Chialvo; K D Kniffki
Journal:  Biol Cybern       Date:  1995-08       Impact factor: 2.086

6.  Fractals in the nervous system: conceptual implications for theoretical neuroscience.

Authors:  Gerhard Werner
Journal:  Front Physiol       Date:  2010-07-06       Impact factor: 4.566

Review 7.  Refractoriness and neural precision.

Authors:  M J Berry; M Meister
Journal:  J Neurosci       Date:  1998-03-15       Impact factor: 6.167

8.  Quantal neurotransmitter secretion rate exhibits fractal behavior.

Authors:  S B Lowen; S S Cash; M Poo; M C Teich
Journal:  J Neurosci       Date:  1997-08-01       Impact factor: 6.167

9.  Maturation of Spontaneous Firing Properties after Hearing Onset in Rat Auditory Nerve Fibers: Spontaneous Rates, Refractoriness, and Interfiber Correlations.

Authors:  Jingjing Sherry Wu; Eric D Young; Elisabeth Glowatzki
Journal:  J Neurosci       Date:  2016-10-12       Impact factor: 6.167

10.  Multifractal analysis of information processing in hippocampal neural ensembles during working memory under Δ⁹-tetrahydrocannabinol administration.

Authors:  Dustin Fetterhoff; Ioan Opris; Sean L Simpson; Sam A Deadwyler; Robert E Hampson; Robert A Kraft
Journal:  J Neurosci Methods       Date:  2014-07-30       Impact factor: 2.390

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