Literature DB >> 8655790

The periodogram and Allan variance reveal fractal exponents greater than unity in auditory-nerve spike trains.

S B Lowen1, M C Teich.   

Abstract

Auditory-nerve spike trains exhibit fractal behavior, and therefore traditional renewal-point-process models fail to describe them adequately. Previous measures of the fractal exponent of these spike trains are based on the Fano factor and consequently cannot exceed unity. Two estimates of the fractal exponent are considered which do not suffer from this limit: one derived from the Allan variance, which was developed by the authors, and one based on the periodogram. These measures indicate that fractal exponents do indeed exceed unity for some nerve-spike recordings from stimulated primary afferent cat auditory-nerve fibers.

Mesh:

Year:  1996        PMID: 8655790     DOI: 10.1121/1.414979

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  18 in total

1.  Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli.

Authors:  M J Chacron; A Longtin; L Maler
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

2.  Neuronal activity in the substantia nigra in the anaesthetized rat has fractal characteristics. Evidence for firing-code patterns in the basal ganglia.

Authors:  M Rodríguez; E Pereda; J González; P Abdala; J A Obeso
Journal:  Exp Brain Res       Date:  2003-05-27       Impact factor: 1.972

3.  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

4.  Dynamics of excitability over extended timescales in cultured cortical neurons.

Authors:  Asaf Gal; Danny Eytan; Avner Wallach; Maya Sandler; Jackie Schiller; Shimon Marom
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

5.  Fractal stochastic modeling of spiking activity in suprachiasmatic nucleus neurons.

Authors:  Sung-Il Kim; Jaeseung Jeong; Yongho Kwak; Yang In Kim; Seung Hun Jung; Kyoung J Lee
Journal:  J Comput Neurosci       Date:  2005-08       Impact factor: 1.621

6.  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

7.  Extending the effects of spike-timing-dependent plasticity to behavioral timescales.

Authors:  Patrick J Drew; L F Abbott
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

8.  Singular behavior of slow dynamics of single excitable cells.

Authors:  Takahiro Harada; Tomomi Yokogawa; Tomoshige Miyaguchi; Hiroshi Kori
Journal:  Biophys J       Date:  2009-01       Impact factor: 4.033

Review 9.  Nonrenewal spike train statistics: causes and functional consequences on neural coding.

Authors:  Oscar Avila-Akerberg; Maurice J Chacron
Journal:  Exp Brain Res       Date:  2011-01-26       Impact factor: 1.972

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.