Literature DB >> 10875382

Perceptual classification based on the component structure of song in European starlings.

T Q Gentner1, S H Hulse.   

Abstract

The ability to recognize individuals based on their vocalizations is common among many species of songbirds. Examining the psychological and neural basis of this functionally relevant behavior can provide insight into the perceptual processing of acoustically complex, real-world, communication signals. In one species of songbird, European starlings (Sturnus vulgaris), males sing long and acoustically complex songs composed of small stereotyped note clusters called motifs. Previous studies demonstrate that starlings are capable of individual vocal recognition, and suggest that vocal recognition results from the association of specific motifs with specific individuals. The present study tests this possibility by examining how variation among the motifs that comprise a song affect its discrimination and classification. Starlings were trained, using operant techniques, to associate multiple songs from a single male starling with one response, and songs from four other male starlings with another response. The level of stimulus control exerted by motif variation was then measured by having subjects classify three sets of novel song bouts in which motifs from the training songs were systematically recombined. The results demonstrate a significant, and approximately linear, relationship between song classification and the relative proportions of familiar motifs from different singers that compose a bout. The results also indicate that the motif proportion effects on song classification are primary to retroactive interference in the recall for specific motifs, and independent of any biases due to the syntactic organization of motifs within a bout. Together, the results of this study suggest that starlings organize the complex vocalizations of conspecifics by memorizing large numbers of unique song components (i.e., motifs) that are then associated with different classes. Because individual starlings tend to possess unique motif repertoires, it is likely that under natural conditions such classes will correspond to individual identity. Thus, it is likely that perceptual processing mechanisms similar to those described by the results of the present study form the basis for individual vocal recognition in starlings.

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Year:  2000        PMID: 10875382     DOI: 10.1121/1.429408

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  21 in total

1.  Acoustic and perceptual categories of vocal elements in the warble song of budgerigars (Melopsittacus undulatus).

Authors:  Hsiao-Wei Tu; Edward W Smith; Robert J Dooling
Journal:  J Comp Psychol       Date:  2011-11       Impact factor: 2.231

2.  Neuronal populations and single cells representing learned auditory objects.

Authors:  Timothy Q Gentner; Daniel Margoliash
Journal:  Nature       Date:  2003-08-07       Impact factor: 49.962

Review 3.  Avian psychology and communication.

Authors:  Candy Rowe; John Skelhorn
Journal:  Proc Biol Sci       Date:  2004-07-22       Impact factor: 5.349

4.  Functional differences in forebrain auditory regions during learned vocal recognition in songbirds.

Authors:  Timothy Q Gentner; Stewart H Hulse; Gregory F Ball
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-09-21       Impact factor: 1.836

5.  Distributed recognition of natural songs by European starlings.

Authors:  Daniel Knudsen; Jason V Thompson; Timothy Q Gentner
Journal:  Learn Motiv       Date:  2010-11-01

6.  Receiver psychology turns 20: is it time for a broader approach?

Authors:  Cory T Miller; Mark A Bee
Journal:  Anim Behav       Date:  2012-02-01       Impact factor: 2.844

Review 7.  Mechanisms of song perception in oscine birds.

Authors:  Daniel P Knudsen; Timothy Q Gentner
Journal:  Brain Lang       Date:  2010-05-14       Impact factor: 2.381

8.  Recursive syntactic pattern learning by songbirds.

Authors:  Timothy Q Gentner; Kimberly M Fenn; Daniel Margoliash; Howard C Nusbaum
Journal:  Nature       Date:  2006-04-27       Impact factor: 49.962

9.  Associative learning enhances population coding by inverting interneuronal correlation patterns.

Authors:  James M Jeanne; Tatyana O Sharpee; Timothy Q Gentner
Journal:  Neuron       Date:  2013-04-24       Impact factor: 17.173

10.  Temporal scales of auditory objects underlying birdsong vocal recognition.

Authors:  Timothy Q Gentner
Journal:  J Acoust Soc Am       Date:  2008-08       Impact factor: 1.840

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