Literature DB >> 25217867

Zebra finches can use positional and transitional cues to distinguish vocal element strings.

Jiani Chen1, Carel Ten Cate2.   

Abstract

Learning sequences is of great importance to humans and non-human animals. Many motor and mental actions, such as singing in birds and speech processing in humans, rely on sequential learning. At least two mechanisms are considered to be involved in such learning. The chaining theory proposes that learning of sequences relies on memorizing the transitions between adjacent items, while the positional theory suggests that learners encode the items according to their ordinal position in the sequence. Positional learning is assumed to dominate sequential learning. However, human infants exposed to a string of speech sounds can learn transitional (chaining) cues. So far, it is not clear whether birds, an increasingly important model for examining vocal processing, can do this. In this study we use a Go-Nogo design to examine whether zebra finches can use transitional cues to distinguish artificially constructed strings of song elements. Zebra finches were trained with sequences differing in transitional and positional information and next tested with novel strings sharing positional and transitional similarities with the training strings. The results show that they can attend to both transitional and positional cues and that their sequential coding strategies can be biased toward transitional cues depending on the learning context. This article is part of a Special Issue entitled: In Honor of Jerry Hogan.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chaining; Positional learning; Sequential learning; Song; Transitional learning; Zebra finch

Mesh:

Year:  2014        PMID: 25217867     DOI: 10.1016/j.beproc.2014.09.004

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  18 in total

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Authors:  Damian Scarf; Karoline Boy; Anelisie Uber Reinert; Jack Devine; Onur Güntürkün; Michael Colombo
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3.  Zebra finches are sensitive to combinations of temporally distributed features in a model of word recognition.

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4.  Budgerigars and zebra finches differ in how they generalize in an artificial grammar learning experiment.

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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

7.  Neural processes underlying statistical learning for speech segmentation in dogs.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-28       Impact factor: 11.205

Review 9.  Constraints on Statistical Learning Across Species.

Authors:  Chiara Santolin; Jenny R Saffran
Journal:  Trends Cogn Sci       Date:  2017-11-14       Impact factor: 20.229

10.  When forgetting fosters learning: A neural network model for statistical learning.

Authors:  Ansgar D Endress; Scott P Johnson
Journal:  Cognition       Date:  2021-02-17
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