Items Authored/Edited by Frieler, Klaus

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Number of items: 9.

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Müllensiefen, Daniel; Elvers, Paul and Frieler, Klaus. 2022. Musical development during adolescence: Perceptual skills, cognitive resources, and musical training. Annals of the New York Academy of Science, 1518(1), pp. 264-281. ISSN 0077-8923 [Article]

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Lippolis, Mariangela; Müllensiefen, Daniel; Frieler, Klaus; Matarelli, Benedeta; Vuust, Peter; Cassibba, Rosalinda and Brattico, Elvira. 2022. Learning to play a musical instrument in the middle school is associated with superior audiovisual working memory and fluid intelligence: A cross-sectional behavioral study. Frontiers in Psychology, 13, 982704. ISSN 1664-1078 [Article]

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Silas, Sebastian; Müllensiefen, Daniel; Gelding, Rebecca; Frieler, Klaus and Harrison, Peter M. C.. 2022. The Associations Between Music Training, Musical Working Memory, and Visuospatial Working Memory: An Opportunity for Causal Modeling. Music Perception, 39(4), pp. 401-420. ISSN 0730-7829 [Article]

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Tsigeman, Elina; Silas, Sebastian; Frieler, Klaus; Likhanov, Maxim; Gelding, Rebecca; Kovas, Yulia and Müllensiefen, Daniel. 2022. The Jack and Jill Adaptive Working Memory Task: Construction, Calibration and Validation. PLoS ONE, 17(1), e0262200. ISSN 1932-6203 [Article]

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Omigie, Diana; Frieler, Klaus; Bär, Christian; Muralikrishnan, R.; Wald-Fuhrmann, Melanie and Fischinger, Timo. 2021. Experiencing musical beauty: emotional subtypes and their physiological and musico-acoustic correlates. Psychology of Aesthetics, Creativity, and the Arts, 15(2), pp. 197-215. ISSN 1931-3896 [Article]

Müllensiefen, Daniel; Pfleiderer, Martin and Frieler, Klaus. 2009. The Perception of Accents in Pop Music Melodies. Journal of New Music Research, 38(1), pp. 19-44. ISSN 0929-8215 [Article]

Müllensiefen, Daniel and Frieler, Klaus. 2007. Modelling experts notions of melodic similarity. Musicae Scientiae, Discussion Forum, 4A, pp. 183-210. [Article]

Müllensiefen, Daniel and Frieler, Klaus. 2004. Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments. Computing in Musicology, 13, pp. 147-176. [Article]

Book Section

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Müllensiefen, Daniel and Frieler, Klaus. 2022. Statistical Methods in Music Corpus Studies: Application, Use Cases, and Best Practice Examples. In: Daniel Shanahan; John Ashley Burgoyne and Ian Quinn, eds. The Oxford Handbook of Music and Corpus Studies. Oxford: Oxford University Press. ISBN 9780190945442 [Book Section]

This list was generated on Fri Mar 29 03:51:03 2024 GMT.