Analysis of long-range dependence in auditory-nerve fiber recordings

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dc.contributor.advisorJohnson, Don H.
dc.creatorKelly, Owen E.
dc.date.accessioned2009-06-03T23:59:44Z
dc.date.available2009-06-03T23:59:44Z
dc.date.issued1994
dc.description.abstractThe pattern of occurrence of isolated action potentials recorded from the cat's auditory nerve fiber is modeled over short time scales as a renewal process. For counting times greater than one second, the count variance-to-mean ratio grows as a power of the counting time. Such behavior is consistent with a renewal process driven by a fractal random waveform process (1/f-type spectrum). Based on 108 recordings each 600 seconds long, we conclude that the presence of the fractal noise is independent of characteristic frequency and stimulus level. This noise appears to originate in the cochlear inner hair cells. We measured the low frequency power of the fractal noise, finding its coefficient of variation to decrease as firing rate increases. Such behavior is consistent with multiplicative random variations in the permeability of the hair cell membrane to neuro-transmitter and also with increased level discrimination acuity at high stimulus levels.
dc.format.extent101 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 1994 KELLY
dc.identifier.citationKelly, Owen E.. "Analysis of long-range dependence in auditory-nerve fiber recordings." (1994) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/13850">https://hdl.handle.net/1911/13850</a>.
dc.identifier.urihttps://hdl.handle.net/1911/13850
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectBiostatistics
dc.subjectElectronics
dc.subjectElectrical engineering
dc.subjectStatistics
dc.subjectNeurosciences
dc.titleAnalysis of long-range dependence in auditory-nerve fiber recordings
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts
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