Literature DB >> 20610781

Differential influence of frequency, timing, and intensity cues in a complex acoustic categorization task.

Katherine I Nagel1, Helen M McLendon, Allison J Doupe.   

Abstract

Songbirds, which, like humans, learn complex vocalizations, provide an excellent model for the study of acoustic pattern recognition. Here we examined the role of three basic acoustic parameters in an ethologically relevant categorization task. Female zebra finches were first trained to classify songs as belonging to one of two males and then asked whether they could generalize this knowledge to songs systematically altered with respect to frequency, timing, or intensity. Birds' performance on song categorization fell off rapidly when songs were altered in frequency or intensity, but they generalized well to songs that were changed in duration by >25%. Birds were not deaf to timing changes, however; they detected these tempo alterations when asked to discriminate between the same song played back at two different speeds. In addition, when birds were retrained with songs at many intensities, they could correctly categorize songs over a wide range of volumes. Thus although they can detect all these cues, birds attend less to tempo than to frequency or intensity cues during song categorization. These results are unexpected for several reasons: zebra finches normally encounter a wide range of song volumes but most failed to generalize across volumes in this task; males produce only slight variations in tempo, but females generalized widely over changes in song duration; and all three acoustic parameters are critical for auditory neurons. Thus behavioral data place surprising constraints on the relationship between previous experience, behavioral task, neural responses, and perception. We discuss implications for models of auditory pattern recognition.

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Year:  2010        PMID: 20610781      PMCID: PMC2944678          DOI: 10.1152/jn.00028.2010

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


  48 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.  Distinct time scales in cortical discrimination of natural sounds in songbirds.

Authors:  Rajiv Narayan; Gilberto Graña; Kamal Sen
Journal:  J Neurophysiol       Date:  2006-03-29       Impact factor: 2.714

3.  Mate recognition by female zebra finch: analysis of individuality in male call and first investigations on female decoding process.

Authors:  Clémentine Vignal; Nicolas Mathevon; Stéphane Mottin
Journal:  Behav Processes       Date:  2007-09-29       Impact factor: 1.777

4.  Invariance and sensitivity to intensity in neural discrimination of natural sounds.

Authors:  Cyrus P Billimoria; Benjamin J Kraus; Rajiv Narayan; Ross K Maddox; Kamal Sen
Journal:  J Neurosci       Date:  2008-06-18       Impact factor: 6.167

5.  Feature analysis of natural sounds in the songbird auditory forebrain.

Authors:  K Sen; F E Theunissen; A J Doupe
Journal:  J Neurophysiol       Date:  2001-09       Impact factor: 2.714

Review 6.  Using learned calls to study sensory-motor integration in songbirds.

Authors:  David S Vicario
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

7.  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

8.  Perceptual mechanisms for individual vocal recognition in European starlings, Sturnus vulgaris.

Authors: 
Journal:  Anim Behav       Date:  1998-09       Impact factor: 2.844

9.  Cytoarchitectonic organization and morphology of cells of the field L complex in male zebra finches (Taenopygia guttata).

Authors:  E S Fortune; D Margoliash
Journal:  J Comp Neurol       Date:  1992-11-15       Impact factor: 3.215

Review 10.  Learning and neural plasticity in visual object recognition.

Authors:  Zoe Kourtzi; James J DiCarlo
Journal:  Curr Opin Neurobiol       Date:  2006-03-24       Impact factor: 6.627

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  15 in total

1.  Auditory forebrain neurons track temporal features of time-warped natural stimuli.

Authors:  Ross K Maddox; Kamal Sen; Cyrus P Billimoria
Journal:  J Assoc Res Otolaryngol       Date:  2013-10-16

2.  Zebra finches are sensitive to combinations of temporally distributed features in a model of word recognition.

Authors:  Jeffrey M Knowles; Allison J Doupe; Michael S Brainard
Journal:  J Acoust Soc Am       Date:  2018-08       Impact factor: 1.840

3.  Zebra finches are sensitive to prosodic features of human speech.

Authors:  Michelle J Spierings; Carel ten Cate
Journal:  Proc Biol Sci       Date:  2014-07-22       Impact factor: 5.349

4.  Stimulus-dependent flexibility in non-human auditory pitch processing.

Authors:  Micah R Bregman; Aniruddh D Patel; Timothy Q Gentner
Journal:  Cognition       Date:  2011-09-10

5.  Automated auditory recognition training and testing.

Authors:  Austen Gess; David M Schneider; Akshat Vyas; Sarah M N Woolley
Journal:  Anim Behav       Date:  2011-08-01       Impact factor: 2.844

6.  Incorporating naturalistic correlation structure improves spectrogram reconstruction from neuronal activity in the songbird auditory midbrain.

Authors:  Alexandro D Ramirez; Yashar Ahmadian; Joseph Schumacher; David Schneider; Sarah M N Woolley; Liam Paninski
Journal:  J Neurosci       Date:  2011-03-09       Impact factor: 6.167

Review 7.  Variations on a theme: Songbirds, variability, and sensorimotor error correction.

Authors:  B D Kuebrich; S J Sober
Journal:  Neuroscience       Date:  2014-10-14       Impact factor: 3.590

8.  A hierarchical neuronal model for generation and online recognition of birdsongs.

Authors:  Izzet B Yildiz; Stefan J Kiebel
Journal:  PLoS Comput Biol       Date:  2011-12-15       Impact factor: 4.475

9.  Recognition of non-harmonic natural sounds by small mammals using competitive training.

Authors:  Hisayuki Ojima; Masato Taira; Michinori Kubota; Junsei Horikawa
Journal:  PLoS One       Date:  2012-12-10       Impact factor: 3.240

10.  Vocal learning and flexible rhythm pattern perception are linked: Evidence from songbirds.

Authors:  Andrew A Rouse; Aniruddh D Patel; Mimi H Kao
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-16       Impact factor: 11.205

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