Literature DB >> 24840800

Neural processing of natural sounds.

Frédéric E Theunissen1, Julie E Elie1.   

Abstract

We might be forced to listen to a high-frequency tone at our audiologist's office or we might enjoy falling asleep with a white-noise machine, but the sounds that really matter to us are the voices of our companions or music from our favourite radio station. The auditory system has evolved to process behaviourally relevant natural sounds. Research has shown not only that our brain is optimized for natural hearing tasks but also that using natural sounds to probe the auditory system is the best way to understand the neural computations that enable us to comprehend speech or appreciate music.

Mesh:

Year:  2014        PMID: 24840800     DOI: 10.1038/nrn3731

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  118 in total

1.  Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds.

Authors:  Sarah M N Woolley; Thane E Fremouw; Anne Hsu; Frédéric E Theunissen
Journal:  Nat Neurosci       Date:  2005-09-04       Impact factor: 24.884

2.  Efficient auditory coding.

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

3.  The consequences of response nonlinearities for interpretation of spectrotemporal receptive fields.

Authors:  G Björn Christianson; Maneesh Sahani; Jennifer F Linden
Journal:  J Neurosci       Date:  2008-01-09       Impact factor: 6.167

4.  Selective and invariant neural responses to spoken and written narratives.

Authors:  Mor Regev; Christopher J Honey; Erez Simony; Uri Hasson
Journal:  J Neurosci       Date:  2013-10-02       Impact factor: 6.167

5.  The spectro-temporal receptive field. A functional characteristic of auditory neurons.

Authors:  A M Aertsen; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

6.  Frequency as a releaser in the courtship song of two crickets, Gryllus bimaculatus (de Geer) and Teleogryllus oceanicus: a neuroethological analysis.

Authors:  F Libersat; J A Murray; R R Hoy
Journal:  J Comp Physiol A       Date:  1994-04       Impact factor: 1.836

Review 7.  Dissecting natural sensory plasticity: hormones and experience in a maternal context.

Authors:  Jason A Miranda; Robert C Liu
Journal:  Hear Res       Date:  2009-05-03       Impact factor: 3.208

8.  Audience drives male songbird response to partner's voice.

Authors:  Clémentine Vignal; Nicolas Mathevon; Stéphane Mottin
Journal:  Nature       Date:  2004-07-22       Impact factor: 49.962

9.  Reconstructing speech from human auditory cortex.

Authors:  Brian N Pasley; Stephen V David; Nima Mesgarani; Adeen Flinker; Shihab A Shamma; Nathan E Crone; Robert T Knight; Edward F Chang
Journal:  PLoS Biol       Date:  2012-01-31       Impact factor: 8.029

10.  A potential neural substrate for processing functional classes of complex acoustic signals.

Authors:  Isabelle George; Hugo Cousillas; Jean-Pierre Richard; Martine Hausberger
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

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  79 in total

1.  Meaning in the avian auditory cortex: neural representation of communication calls.

Authors:  Julie E Elie; Frédéric E Theunissen
Journal:  Eur J Neurosci       Date:  2015-03       Impact factor: 3.386

2.  Neural responses to natural and model-matched stimuli reveal distinct computations in primary and nonprimary auditory cortex.

Authors:  Sam V Norman-Haignere; Josh H McDermott
Journal:  PLoS Biol       Date:  2018-12-03       Impact factor: 8.029

3.  Sparsey™: event recognition via deep hierarchical sparse distributed codes.

Authors:  Gerard J Rinkus
Journal:  Front Comput Neurosci       Date:  2014-12-15       Impact factor: 2.380

Review 4.  Multiscale modeling of mechanotransduction in the utricle.

Authors:  Jong-Hoon Nam; J W Grant; M H Rowe; E H Peterson
Journal:  J Neurophysiol       Date:  2019-04-17       Impact factor: 2.714

5.  Reconstructing the spectrotemporal modulations of real-life sounds from fMRI response patterns.

Authors:  Roberta Santoro; Michelle Moerel; Federico De Martino; Giancarlo Valente; Kamil Ugurbil; Essa Yacoub; Elia Formisano
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-18       Impact factor: 11.205

Review 6.  SK channel subtypes enable parallel optimized coding of behaviorally relevant stimulus attributes: A review.

Authors:  Chengjie G Huang; Maurice J Chacron
Journal:  Channels (Austin)       Date:  2017-03-01       Impact factor: 2.581

7.  Statistics of natural reverberation enable perceptual separation of sound and space.

Authors:  James Traer; Josh H McDermott
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-10       Impact factor: 11.205

8.  Usage of drip drops as stimuli in an auditory P300 BCI paradigm.

Authors:  Minqiang Huang; Jing Jin; Yu Zhang; Dewen Hu; Xingyu Wang
Journal:  Cogn Neurodyn       Date:  2017-11-16       Impact factor: 5.082

9.  Joint Representation of Spatial and Phonetic Features in the Human Core Auditory Cortex.

Authors:  Prachi Patel; Laura K Long; Jose L Herrero; Ashesh D Mehta; Nima Mesgarani
Journal:  Cell Rep       Date:  2018-08-21       Impact factor: 9.423

10.  Auditory "bubbles": Efficient classification of the spectrotemporal modulations essential for speech intelligibility.

Authors:  Jonathan H Venezia; Gregory Hickok; Virginia M Richards
Journal:  J Acoust Soc Am       Date:  2016-08       Impact factor: 1.840

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