Literature DB >> 30180710

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

Jeffrey M Knowles1, Allison J Doupe1, Michael S Brainard2.   

Abstract

Discrimination between spoken words composed of overlapping elements, such as "captain" and "captive," relies on sensitivity to unique combinations of prefix and suffix elements that span a "uniqueness point" where the word candidates diverge. To model such combinatorial processing, adult female zebra finches were trained to discriminate between target and distractor syllable sequences that shared overlapping "contextual" prefixes and differed only in their "informative" suffixes. The transition from contextual to informative syllables thus created a uniqueness point analogous to that present between overlapping word candidates, where targets and distractors diverged. It was found that target recognition depended not only on informative syllables, but also on contextual syllables that were shared with distractors. Moreover, the influence of each syllable depended on proximity to the uniqueness point. Birds were then trained birds with targets and distractors that shared both prefix and suffix sequences and could only be discriminated by recognizing unique combinations of those sequences. Birds learned to robustly discriminate target and distractor combinations and maintained significant discrimination when the local transitions from prefix to suffix were disrupted. These findings indicate that birds, like humans, combine information across temporally distributed features, spanning contextual and informative elements, in recognizing and discriminating word-like stimuli.

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Mesh:

Year:  2018        PMID: 30180710      PMCID: PMC6103769          DOI: 10.1121/1.5050910

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


  42 in total

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2.  Phoneme and word recognition in the auditory ventral stream.

Authors:  Iain DeWitt; Josef P Rauschecker
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-01       Impact factor: 11.205

Review 3.  Revisiting the syntactic abilities of non-human animals: natural vocalizations and artificial grammar learning.

Authors:  Carel ten Cate; Kazuo Okanoya
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-07-19       Impact factor: 6.237

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

Authors:  Katherine I Nagel; Helen M McLendon; Allison J Doupe
Journal:  J Neurophysiol       Date:  2010-07-07       Impact factor: 2.714

5.  Memory processing of serial lists by pigeons, monkeys, and people.

Authors:  A A Wright; H C Santiago; S F Sands; D F Kendrick; R G Cook
Journal:  Science       Date:  1985-07-19       Impact factor: 47.728

6.  Functional parallelism in spoken word-recognition.

Authors:  W D Marslen-Wilson
Journal:  Cognition       Date:  1987-03

7.  Perceptual compensation for coarticulation by Japanese quail (Coturnix coturnix japonica).

Authors:  A J Lotto; K R Kluender; L L Holt
Journal:  J Acoust Soc Am       Date:  1997-08       Impact factor: 1.840

8.  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

9.  Perceptual categories enable pattern generalization in songbirds.

Authors:  Jordan A Comins; Timothy Q Gentner
Journal:  Cognition       Date:  2013-05-10

10.  Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species.

Authors:  Caroline A A van Heijningen; Jos de Visser; Willem Zuidema; Carel ten Cate
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

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  1 in total

Review 1.  Sound sequences in birdsong: how much do birds really care?

Authors:  Adam R Fishbein; William J Idsardi; Gregory F Ball; Robert J Dooling
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-18       Impact factor: 6.237

  1 in total

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