Daniel Müllensiefen
Daniel Müllensiefen
Professor, Department of Psychology, Goldsmiths, University of London
Verified email at gold.ac.uk - Homepage
Cited by
Cited by
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
Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments
D Müllensiefen, K Frieler
Computing in Musicology 13 (2003), 147-176, 2004
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
Effects of timbre and tempo change on memory for music
AR Halpern, D Müllensiefen
Quarterly Journal of Experimental Psychology 61 (9), 1371-1384, 2008
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
Computational modeling of music cognition and musical creativity
GA Wiggins, MT Pearce, D Müllensiefen
na, 2009
Classification in music research
C Weihs, U Ligges, F Mörchen, D Müllensiefen
Advances in Data Analysis and Classification 1 (3), 255-291, 2007
On the non-existence of music: Why music theory is a figment of the imagination
GA Wiggins, D Müllensiefen, MT Pearce
Musicae Scientiae 14 (1_suppl), 231-255, 2010
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation.
MT Pearce, D Müllensiefen, GA Wiggins
ISMIR, 89-94, 2008
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
Melodic grouping in music information retrieval: New methods and applications
MT Pearce, D Müllensiefen, GA Wiggins
Advances in music information retrieval, 364-388, 2010
Personality predicts musical sophistication
DM Greenberg, D Müllensiefen, ME Lamb, PJ Rentfrow
Journal of Research in Personality 58, 154-158, 2015
The Goldsmiths Musical Sophistication Index (Gold-MSI): Technical Report and Documentation v0. 9
D Müllensiefen, B Gingras, L Stewart, J Musil
London: Goldsmiths, University of London, 2011
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
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 involuntary musical imagery scale (IMIS).
GA Floridou, VJ Williamson, L Stewart, D Müllensiefen
Psychomusicology: Music, Mind, and Brain 25 (1), 28, 2015
Optimizing measures of melodic similarity for the exploration of a large folk song database.
D Müllensiefen, K Frieler
ISMIR, 2004
Environmental and mental conditions predicting the experience of involuntary musical imagery: An experience sampling method study
GA Floridou, D Müllensiefen
Consciousness and cognition 33, 472-486, 2015
Court decisions on music plagiarism and the predictive value of similarity algorithms
D Müllensiefen, M Pendzich
Musicae Scientiae 13 (1_suppl), 257-295, 2009
The system can't perform the operation now. Try again later.
Articles 1–20