Literature DB >> 18535861

Statistical analyses of temporal information in auditory brainstem responses to tones in noise: correlation index and spike-distance metric.

Yan Gai1, Laurel H Carney.   

Abstract

Gai and Carney (J Neurophysiol 96:2451-2464, 2006) previously explored the detection of tones in noise based on responses in the anteroventral cochlear nucleus; that study focused on temporal information in discharge reliability and analyses of neural responses related to the fine structure or envelope of the stimulus. Two additional temporal approaches, the correlation index (Joris et al., Hearing Res 216-217:19-30, 2006) and the spike-distance metric (Victor and Purpura, J Neurophysiol 76:1310-1326, 1996; Netw Comput Neural Syst 8:127-164, 1997), are tested in the present study. Trends in the correlation index as a function of stimulus level are similar to those of the synchronization coefficient (also called the vector strength) when the tone is presented alone. However, the present study found that trends in the correlation index did not agree with those of the synchronization coefficient for tones presented with relatively high-level background noise. Instead, trends in the correlation index generally agreed with those of the temporal reliability metric discussed in Gai and Carney (J Neurophysiol 96:2451-2464, 2006); that is, the correlation index decreased with increased tone level in the presence of relatively high-level background noise. The spike-distance metric, which was based on absolute spike times or on interspike intervals, was compared to the temporal measures described above, which were generally based on relative spike times. The results confirm that the spike-distance metric is not an optimal temporal metric. In addition, absolute spike times of primary-like responses generally contained much less temporal information than absolute spike times of chopper response types. The present study highlights the importance of relative spike-timing information as characterized by traditional and novel temporal measures.

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Year:  2008        PMID: 18535861      PMCID: PMC2538145          DOI: 10.1007/s10162-008-0129-8

Source DB:  PubMed          Journal:  J Assoc Res Otolaryngol        ISSN: 1438-7573


  28 in total

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Journal:  J Acoust Soc Am       Date:  1988-04       Impact factor: 1.840

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Journal:  Hear Res       Date:  1980-12       Impact factor: 3.208

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Journal:  J Neurophysiol       Date:  1985-04       Impact factor: 2.714

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  6 in total

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Authors:  Isaac M Carruthers; Diego A Laplagne; Andrew Jaegle; John J Briguglio; Laetitia Mwilambwe-Tshilobo; Ryan G Natan; Maria N Geffen
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

2.  Mode-locked spike trains in responses of ventral cochlear nucleus chopper and onset neurons to periodic stimuli.

Authors:  Jonathan Laudanski; Stephen Coombes; Alan R Palmer; Christian J Sumner
Journal:  J Neurophysiol       Date:  2009-12-30       Impact factor: 2.714

3.  A novel mutual information estimator to measure spike train correlations in a model thalamocortical network.

Authors:  Ekaterina D Gribkova; Baher A Ibrahim; Daniel A Llano
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4.  Millisecond precision spike timing shapes tactile perception.

Authors:  Emily L Mackevicius; Matthew D Best; Hannes P Saal; Sliman J Bensmaia
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

5.  A map of functional synaptic connectivity in the mouse anteroventral cochlear nucleus.

Authors:  Luke Campagnola; Paul B Manis
Journal:  J Neurosci       Date:  2014-02-05       Impact factor: 6.167

6.  Theoretical Relationship Between Two Measures of Spike Synchrony: Correlation Index and Vector Strength.

Authors:  Dominik Kessler; Catherine E Carr; Jutta Kretzberg; Go Ashida
Journal:  Front Neurosci       Date:  2021-12-20       Impact factor: 4.677

  6 in total

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