Daniel Müllensiefen
Daniel Müllensiefen
Professor, Department of Psychology, Goldsmiths, University of London
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
The musicality of non-musicians: An index for assessing musical sophistication in the general population
D Müllensiefen, B Gingras, J Musil, L Stewart
PloS one 9 (2), e89642, 2014
How do “earworms” start? Classifying the everyday circumstances of Involuntary Musical Imagery
VJ Williamson, SR Jilka, J Fry, S Finkel, D Müllensiefen, L Stewart
Psychology of Music 40 (3), 259-284, 2012
How do artistic creative activities regulate our emotions? Validation of the Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA)
D Fancourt, C Garnett, N Spiro, R West, D Müllensiefen
PloS one 14 (2), e0211362, 2019
The role of expectation and probabilistic learning in auditory boundary perception: A model comparison
MT Pearce, D Müllensiefen, GA Wiggins
Perception 39 (10), 1367-1391, 2010
Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery.
K Jakubowski, S Finkel, L Stewart, D Müllensiefen
Psychology of Aesthetics, Creativity, and the Arts 11 (2), 122, 2017
Der Gold-MSI: Replikation und Validierung eines Fragebogeninstrumentes zur Messung Musikalischer Erfahrenheit anhand einer deutschen Stichprobe
NK Schaal, AKR Bauer, D Müllensiefen
Musicae Scientiae 18 (4), 423-447, 2014
Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments
D Müllensiefen, K Frieler
Computing in Musicology 13 (2003), 147-176, 2004
Effects of timbre and tempo change on memory for music
AR Halpern, D Müllensiefen
Quarterly Journal of Experimental Psychology 61 (9), 1371-1384, 2008
Talent development in achievement domains: A psychological framework for within-and cross-domain research
F Preckel, J Golle, R Grabner, L Jarvin, A Kozbelt, D Müllensiefen, ...
Perspectives on Psychological Science 15 (3), 691-722, 2020
Computational modeling of music cognition and musical creativity
GA Wiggins, MT Pearce, D Müllensiefen
Metacognitive ability correlates with hippocampal and prefrontal microstructure
M Allen, JC Glen, D Müllensiefen, DS Schwarzkopf, F Fardo, D Frank, ...
NeuroImage 149, 415-423, 2017
The music that helps people sleep and the reasons they believe it works: A mixed methods analysis of online survey reports
T Trahan, SJ Durrant, D Müllensiefen, VJ Williamson
PloS one 13 (11), e0206531, 2018
Personality predicts musical sophistication
DM Greenberg, D Müllensiefen, ME Lamb, PJ Rentfrow
Journal of Research in Personality 58, 154-158, 2015
The involuntary musical imagery scale (IMIS).
GA Floridou, VJ Williamson, L Stewart, D Müllensiefen
Psychomusicology: Music, Mind, and Brain 25 (1), 28, 2015
Classification in music research
C Weihs, U Ligges, F Mörchen, D Müllensiefen
Advances in Data Analysis and Classification 1, 255-291, 2007
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
PMC Harrison, T Collins, D Müllensiefen
Scientific Reports 7 (1), 3618, 2017
Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement
D Müllensiefen, P Harrison, F Caprini, A Fancourt
Frontiers in psychology 6, 163413, 2015
Development and validation of the computerised adaptive beat alignment test (CA-BAT)
PMC Harrison, D Müllensiefen
Scientific Reports 8 (1), 12395, 2018
Melodic grouping in music information retrieval: New methods and applications
MT Pearce, D Müllensiefen, GA Wiggins
Advances in music information retrieval, 364-388, 2010
Individual differences predict patterns in spontaneous involuntary musical imagery
D Müllensiefen, J Fry, R Jones, S Jilka, L Stewart, VJ Williamson
Music Perception: An Interdisciplinary Journal 31 (4), 323-338, 2012
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