Literature DB >> 24453321

Suboptimal use of neural information in a mammalian auditory system.

Laurel H Carney1, Muhammad S A Zilany, Nicholas J Huang, Kristina S Abrams, Fabio Idrobo.   

Abstract

Establishing neural determinants of psychophysical performance requires both behavioral and neurophysiological metrics amenable to correlative analyses. It is often assumed that organisms use neural information optimally, such that any information available in a neural code that could improve behavioral performance is used. Studies have shown that detection of amplitude-modulated (AM) auditory tones by humans is correlated to neural synchrony thresholds, as recorded in rabbit at the level of the inferior colliculus, the first level of the ascending auditory pathway where neurons are tuned to AM stimuli. Behavioral thresholds in rabbit, however, are ∼10 dB higher (i.e., 3 times less sensitive) than in humans, and are better correlated to rate-based than temporal coding schemes in the auditory midbrain. The behavioral and physiological results shown here illustrate an unexpected, suboptimal utilization of available neural information that could provide new insights into the mechanisms that link neuronal function to behavior.

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Mesh:

Year:  2014        PMID: 24453321      PMCID: PMC3898290          DOI: 10.1523/JNEUROSCI.3031-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  51 in total

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Authors:  B S Krishna; M N Semple
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Authors:  Zachary M Smith; Bertrand Delgutte; Andrew J Oxenham
Journal:  Nature       Date:  2002-03-07       Impact factor: 49.962

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Authors:  Evan C Smith; Michael S Lewicki
Journal:  Nature       Date:  2006-02-23       Impact factor: 49.962

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Authors:  Boris Gourévitch; Jos J Eggermont
Journal:  J Comput Neurosci       Date:  2009-04-17       Impact factor: 1.621

6.  Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.

Authors:  Søren Jørgensen; Torsten Dau
Journal:  J Acoust Soc Am       Date:  2011-09       Impact factor: 1.840

7.  Temporal modulation transfer functions based upon modulation thresholds.

Authors:  N F Viemeister
Journal:  J Acoust Soc Am       Date:  1979-11       Impact factor: 1.840

8.  Neural encoding of amplitude modulation within the auditory midbrain of squirrel monkeys.

Authors:  P Müller-Preuss; C Flachskamm; A Bieser
Journal:  Hear Res       Date:  1994-11       Impact factor: 3.208

9.  Detection of tones in reproducible noise maskers by rabbits and comparison to detection by humans.

Authors:  Yan Gai; Laurel H Carney; Kristina S Abrams; Fabio Idrobo; J Michael Harrison; Robert H Gilkey
Journal:  J Assoc Res Otolaryngol       Date:  2007-09-25

10.  A computational model of inferior colliculus responses to amplitude modulated sounds in young and aged rats.

Authors:  Cal F Rabang; Aravindakshan Parthasarathy; Yamini Venkataraman; Zachery L Fisher; Stephanie M Gardner; Edward L Bartlett
Journal:  Front Neural Circuits       Date:  2012-11-02       Impact factor: 3.492

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  9 in total

1.  Paired measurements of cochlear function and hair cell count in Dutch-belted rabbits with noise-induced hearing loss.

Authors:  Hariprakash Haragopal; Ryan Dorkoski; Holly M Johnson; Mark A Berryman; Soichi Tanda; Mitchell L Day
Journal:  Hear Res       Date:  2019-11-15       Impact factor: 3.208

2.  Neural coding of time-varying interaural time differences and time-varying amplitude in the inferior colliculus.

Authors:  Nathaniel Zuk; Bertrand Delgutte
Journal:  J Neurophysiol       Date:  2017-04-05       Impact factor: 2.714

3.  Amplitude modulation transfer functions reveal opposing populations within both the inferior colliculus and medial geniculate body.

Authors:  Duck O Kim; Laurel Carney; Shigeyuki Kuwada
Journal:  J Neurophysiol       Date:  2020-09-09       Impact factor: 2.714

4.  Neural fluctuation cues for simultaneous notched-noise masking and profile-analysis tasks: Insights from model midbrain responses.

Authors:  Braden N Maxwell; Virginia M Richards; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2020-05       Impact factor: 1.840

5.  Neural correlates of behavioral amplitude modulation sensitivity in the budgerigar midbrain.

Authors:  Kenneth S Henry; Erikson G Neilans; Kristina S Abrams; Fabio Idrobo; Laurel H Carney
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

6.  Rabbits use both spectral and temporal cues to discriminate the fundamental frequency of harmonic complexes with missing fundamentals.

Authors:  Joseph D Wagner; Alice Gelman; Kenneth E Hancock; Yoojin Chung; Bertrand Delgutte
Journal:  J Neurophysiol       Date:  2021-12-08       Impact factor: 2.714

7.  Temporally precise population coding of dynamic sounds by auditory cortex.

Authors:  Joshua D Downer; James Bigelow; Melissa J Runfeldt; Brian J Malone
Journal:  J Neurophysiol       Date:  2021-06-02       Impact factor: 2.974

8.  Challenging One Model With Many Stimuli: Simulating Responses in the Inferior Colliculus.

Authors:  Langchen Fan; Kenneth S Henry; Laurel H Carney
Journal:  Acta Acust United Acust       Date:  2018 Sep-Oct

9.  Spatiotemporal Spike Coding of Behavioral Adaptation in the Dorsal Anterior Cingulate Cortex.

Authors:  Laureline Logiaco; René Quilodran; Emmanuel Procyk; Angelo Arleo
Journal:  PLoS Biol       Date:  2015-08-12       Impact factor: 8.029

  9 in total

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