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  1. Music Cognition and the Cognitive Sciences.Marcus Pearce & Martin Rohrmeier - 2012 - Topics in Cognitive Science 4 (4):468-484.
    Why should music be of interest to cognitive scientists, and what role does it play in human cognition? We review three factors that make music an important topic for cognitive scientific research. First, music is a universal human trait fulfilling crucial roles in everyday life. Second, music has an important part to play in ontogenetic development and human evolution. Third, appreciating and producing music simultaneously engage many complex perceptual, cognitive, and emotional processes, rendering music an ideal object for studying the (...)
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  • Musical pluralism and the science of music.Adrian Currie & Anton Killin - 2016 - European Journal for Philosophy of Science 6 (1):9-30.
    The scientific investigation of music requires contributions from a diverse array of disciplines. Given the diverse methodologies, interests and research targets of the disciplines involved, we argue that there is a plurality of legitimate research questions about music, necessitating a focus on integration. In light of this we recommend a pluralistic conception of music—that there is no unitary definition divorced from some discipline, research question or context. This has important implications for how the scientific study of music ought to proceed: (...)
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  • Musical instrument familiarity affects statistical learning of tone sequences.Stephen C. Van Hedger, Ingrid S. Johnsrude & Laura J. Batterink - 2022 - Cognition 218 (C):104949.
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  • New music system reveals spectral contribution to statistical learning.Psyche Loui - 2022 - Cognition 224 (C):105071.
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  • Implicit Learning and Acquisition of Music.Martin Rohrmeier & Patrick Rebuschat - 2012 - Topics in Cognitive Science 4 (4):525-553.
    Implicit learning is a core process for the acquisition of a complex, rule‐based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the (...)
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  • Incidental Learning of Melodic Structure of North Indian Music.Martin Rohrmeier & Richard Widdess - 2017 - Cognitive Science 41 (5):1299-1327.
    Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically valid way. (...)
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  • Two Challenges in Cognitive Musicology.David Huron - 2012 - Topics in Cognitive Science 4 (4):678-684.
    Two themes in music cognition research are highlighted—inspired by the contributions in this volume: (a) statistical learning and (b) evolutionary theorizing. Our ability to test alternatives to statistical learning is threatened by the rapidly diminishing opportunities for cross‐cultural studies unconfounded by bimusicalism. Our ability to infer possible evolutionary origins for music is confounded by the “hedonic plenitude” of modern music‐making—where multiple pleasure channels are activated simultaneously. Cognitively inspired music research will benefit by studying a wider range of musical cultures. Evolutionary (...)
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