Literature DB >> 16914617

Temporal measures and neural strategies for detection of tones in noise based on responses in anteroventral cochlear nucleus.

Yan Gai1, Laurel H Carney.   

Abstract

To examine possible neural strategies for the detection of tones in broadband noise, single-neuron extracellular recordings were obtained from the anteroventral cochlear nucleus (AVCN) in anesthetized gerbils. Detection thresholds determined by average discharge rate and several temporal metrics were compared with previously reported psychophysical detection thresholds in cats (Costalupes 1985). Because of their limited dynamic range, the average discharge rates of single neurons failed to predict psychophysical detection thresholds for relatively high-level noise at all measured characteristic frequencies (CFs). However, temporal responses changed significantly when a tone was added to a noise, even for neurons with flat masked rate-level functions. Three specific temporal analyses were applied to neural responses to tones in noise. First, temporal reliability, a measure of discharge time consistency across stimulus repetitions, decreased with increasing tone level for most AVCN neurons at all measured CFs. Second, synchronization to the tone frequency, a measure of phase-locking to the tone, increased with tone level for low-CF neurons. Third, rapid fluctuations in the poststimulus time histograms (PSTHs) decreased with tone level for a number of neurons at all CFs. For each of the three temporal measures, some neurons had detection thresholds at or below psychophysical thresholds. A physiological model of a higher-stage auditory neuron that received simple excitatory and inhibitory inputs from AVCN neurons was able to extract the PSTH fluctuation information in a form of decreased rate with tone level.

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Year:  2006        PMID: 16914617      PMCID: PMC2577022          DOI: 10.1152/jn.00471.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  47 in total

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Journal:  J Neurophysiol       Date:  1975-07       Impact factor: 2.714

2.  Interaction of excitation and inhibition in anteroventral cochlear nucleus neurons that receive large endbulb synaptic endings.

Authors:  Cornelia Kopp-Scheinpflug; Susanne Dehmel; Gerd J Dörrscheidt; Rudolf Rübsamen
Journal:  J Neurosci       Date:  2002-12-15       Impact factor: 6.167

3.  Synaptic depression in the localization of sound.

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4.  Contribution of AMPA, NMDA, and GABA(A) receptors to temporal pattern of postsynaptic responses in the inferior colliculus of the rat.

Authors:  Shu Hui Wu; Chun Lei Ma; Jack B Kelly
Journal:  J Neurosci       Date:  2004-05-12       Impact factor: 6.167

5.  Temporal properties of responses to broadband noise in the auditory nerve.

Authors:  Dries H G Louage; Marcel van der Heijden; Philip X Joris
Journal:  J Neurophysiol       Date:  2004-05       Impact factor: 2.714

6.  Masking and scrambling in the auditory thalamus of awake rats by Gaussian and modulated noises.

Authors:  Eugene M Martin; Morris F West; Purvis H Bedenbaugh
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-27       Impact factor: 11.205

7.  Correlation index: a new metric to quantify temporal coding.

Authors:  Philip X Joris; Dries H Louage; Liesbeth Cardoen; Marcel van der Heijden
Journal:  Hear Res       Date:  2006-04-27       Impact factor: 3.208

8.  Response of neurons in the cochlear nuclei to variations in noise bandwidth and to tone-noise combinations.

Authors:  D D Greenwood; J M Goldberg
Journal:  J Acoust Soc Am       Date:  1970-04       Impact factor: 1.840

9.  Response of binaural neurons of dog superior olivary complex to dichotic tonal stimuli: some physiological mechanisms of sound localization.

Authors:  J M Goldberg; P B Brown
Journal:  J Neurophysiol       Date:  1969-07       Impact factor: 2.714

10.  Characterisation of inhibitory and excitatory postsynaptic currents of the rat medial superior olive.

Authors:  A J Smith; S Owens; I D Forsythe
Journal:  J Physiol       Date:  2000-12-15       Impact factor: 5.182

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  10 in total

1.  Influence of inhibitory inputs on rate and timing of responses in the anteroventral cochlear nucleus.

Authors:  Yan Gai; Laurel H Carney
Journal:  J Neurophysiol       Date:  2008-01-16       Impact factor: 2.714

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

Authors:  Yan Gai; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2008-06-06

3.  Modeling Responses in the Superior Paraolivary Nucleus: Implications for Forward Masking in the Inferior Colliculus.

Authors:  Nima Salimi; Muhammad S A Zilany; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2017-01-17

4.  Masking of sounds by a background noise--cochlear mechanical correlates.

Authors:  Alberto Recio-Spinoso; Nigel P Cooper
Journal:  J Physiol       Date:  2013-03-11       Impact factor: 5.182

5.  Tone-in-noise detection using envelope cues: comparison of signal-processing-based and physiological models.

Authors:  Junwen Mao; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2014-09-30

6.  Contextual effects of noise on vocalization encoding in primary auditory cortex.

Authors:  Ruiye Ni; David A Bender; Amirali M Shanechi; Jeffrey R Gamble; Dennis L Barbour
Journal:  J Neurophysiol       Date:  2016-11-23       Impact factor: 2.714

7.  Responses to diotic tone-in-noise stimuli in the inferior colliculus: stimulus envelope and neural fluctuation cues.

Authors:  Langchen Fan; Kenneth S Henry; Laurel H Carney
Journal:  Hear Res       Date:  2021-08-02       Impact factor: 3.672

Review 8.  Supra-Threshold Hearing and Fluctuation Profiles: Implications for Sensorineural and Hidden Hearing Loss.

Authors:  Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2018-05-09

9.  Effects of noise bandwidth and amplitude modulation on masking in frog auditory midbrain neurons.

Authors:  Jozien B M Goense; Albert S Feng
Journal:  PLoS One       Date:  2012-02-10       Impact factor: 3.240

10.  Neuronal population model of globular bushy cells covering unit-to-unit variability.

Authors:  Go Ashida; Helen T Heinermann; Jutta Kretzberg
Journal:  PLoS Comput Biol       Date:  2019-12-27       Impact factor: 4.475

  10 in total

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