Literature DB >> 34669503

Effect of background clutter on neural discrimination in the bat auditory midbrain.

Kathryne M Allen1, Angeles Salles1, Sangwook Park2, Mounya Elhilali2, Cynthia F Moss1,3,4.   

Abstract

The discrimination of complex sounds is a fundamental function of the auditory system. This operation must be robust in the presence of noise and acoustic clutter. Echolocating bats are auditory specialists that discriminate sonar objects in acoustically complex environments. Bats produce brief signals, interrupted by periods of silence, rendering echo snapshots of sonar objects. Sonar object discrimination requires that bats process spatially and temporally overlapping echoes to make split-second decisions. The mechanisms that enable this discrimination are not well understood, particularly in complex environments. We explored the neural underpinnings of sonar object discrimination in the presence of acoustic scattering caused by physical clutter. We performed electrophysiological recordings in the inferior colliculus of awake big brown bats, to broadcasts of prerecorded echoes from physical objects. We acquired single unit responses to echoes and discovered a subpopulation of IC neurons that encode acoustic features that can be used to discriminate between sonar objects. We further investigated the effects of environmental clutter on this population's encoding of acoustic features. We discovered that the effect of background clutter on sonar object discrimination is highly variable and depends on object properties and target-clutter spatiotemporal separation. In many conditions, clutter impaired discrimination of sonar objects. However, in some instances clutter enhanced acoustic features of echo returns, enabling higher levels of discrimination. This finding suggests that environmental clutter may augment acoustic cues used for sonar target discrimination and provides further evidence in a growing body of literature that noise is not universally detrimental to sensory encoding.NEW & NOTEWORTHY Bats are powerful animal models for investigating the encoding of auditory objects under acoustically challenging conditions. Although past work has considered the effect of acoustic clutter on sonar target detection, less is known about target discrimination in clutter. Our work shows that the neural encoding of auditory objects was affected by clutter in a distance-dependent manner. These findings advance the knowledge on auditory object detection and discrimination and noise-dependent stimulus enhancement.

Entities:  

Keywords:  auditory object; echolocation; inferior colliculus; noise; sonar object

Mesh:

Year:  2021        PMID: 34669503      PMCID: PMC8794058          DOI: 10.1152/jn.00109.2021

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


  33 in total

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Journal:  J Neurophysiol       Date:  1981-02       Impact factor: 2.714

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Authors:  Ben Falk; Tameeka Williams; Murat Aytekin; Cynthia F Moss
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-01-19       Impact factor: 1.836

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Authors:  Sarah A Stamper; James A Simmons; Caroline M Delong; Rebecca Bragg
Journal:  J Acoust Soc Am       Date:  2008-07       Impact factor: 1.840

7.  Natural Statistics as Inference Principles of Auditory Tuning in Biological and Artificial Midbrain Networks.

Authors:  Sangwook Park; Angeles Salles; Kathryne Allen; Cynthia F Moss; Mounya Elhilali
Journal:  eNeuro       Date:  2021-06-16

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Authors:  Aurelie Bidet-Caulet; Olivier Bertrand
Journal:  Front Neurosci       Date:  2009-09-15       Impact factor: 4.677

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Authors:  Alyssa R Wheeler; Kara A Fulton; Jason E Gaudette; Ryan A Simmons; Ikuo Matsuo; James A Simmons
Journal:  Front Behav Neurosci       Date:  2016-06-22       Impact factor: 3.558

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Authors:  Jinhong Luo; Silvio Macias; Torbjørn V Ness; Gaute T Einevoll; Kechen Zhang; Cynthia F Moss
Journal:  PLoS Biol       Date:  2018-10-26       Impact factor: 8.029

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  1 in total

Review 1.  Neural Processing of Naturalistic Echolocation Signals in Bats.

Authors:  M Jerome Beetz; Julio C Hechavarría
Journal:  Front Neural Circuits       Date:  2022-05-18       Impact factor: 3.342

  1 in total

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