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Martin Hartmann
Martin Hartmann
University of Jyväskylä, Centre of Excellence in Music, Mind, Body and Brain - Department of Music
Verified email at jyu.fi - Homepage
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Cited by
Cited by
Year
Enhancing the efficacy of integrative improvisational music therapy in the treatment of depression: study protocol for a randomised controlled trial
J Erkkilä, O Brabant, S Saarikallio, E Ala-Ruona, M Hartmann, N Letulė, ...
Trials 20, 1-13, 2019
292019
Music therapy for depression enhanced with listening homework and slow paced breathing: A randomised controlled trial
J Erkkilä, O Brabant, M Hartmann, A Mavrolampados, E Ala-Ruona, ...
Frontiers in Psychology 12, 613821, 2021
212021
Interaction features for prediction of perceptual segmentation: Effects of musicianship and experimental task
M Hartmann, O Lartillot, P Toiviainen
Journal of New Music Research 46 (2), 156-174, 2017
172017
Kinematics of perceived dyadic coordination in dance
M Hartmann, A Mavrolampados, E Allingham, E Carlson, B Burger, ...
Scientific Reports 9 (1), 15594, 2019
162019
Crossing phrase boundaries in music
Z Cenkerová, M Hartmann, P Toiviainen
Proceedings of the Sound and Music Computing Conferences, 2018
122018
Musical training predicts cerebello-hippocampal coupling during music listening.
I Burunat, E Brattico, M Hartmann, P Vuust, T Särkämö, P Toiviainen
Psychomusicology: Music, Mind, and Brain 28 (3), 152, 2018
112018
Musical interaction in music therapy for depression treatment
M Hartmann, A Mavrolampados, P Toiviainen, S Saarikallio, K Foubert, ...
Psychology of Music 51 (1), 33-50, 2023
102023
Multi-scale modelling of segmentation: effect of music training and experimental task
M Hartmann, O Lartillot, P Toiviainen
Music Perception: An Interdisciplinary Journal 34 (2), 192-217, 2016
82016
Musical feature and novelty curve characterizations as predictors of segmentation accuracy
M Hartmann, O Lartillot, P Toiviainen
Proceedings of the Sound and Music Computing Conferences, 2017
62017
Testing a spectral-based feature set for audio genre classification
MA Hartmann
52011
Analyzing multidimensional movement interaction with generalized cross-wavelet transform
P Toiviainen, M Hartmann
Human Movement Science 81, 102894, 2022
42022
Comparing timbre-based features for musical genre classification
M Hartmann, P Saari, P Toiviainen, O Lartillot
Proceedings of the Sound and Music Computing Conference SMC, 2013
42013
Postural and gestural synchronization, sequential imitation, and mirroring predict perceived coupling of dancing dyads
M Hartmann, E Carlson, A Mavrolampados, B Burger, P Toiviainen
Cognitive Science 47 (4), e13281, 2023
22023
Modelling and prediction of perceptual segmentation
MA Hartmann
Jyväskylä studies in humanities, 2017
22017
Effects of musicianship and experimental task on perceptual segmentation
M Hartmann, O Lartillot, P Toiviainen
Triennal Conference of the European Society for the Cognitive Sciences of Music, 2015
22015
Perception of Segment Boundaries in Musicians and Non-musicians
M Hartmann, P Toiviainen, O Lartillot
Proceedings of the 13th International Conference on Music Perception and …, 2014
22014
Impact of social affiliation and affiliation with music on entrainment and social connectedness in adolescence
M Hartmann, P Neto, M Thompson, I Burunat, JS Bamford, E Clements, ...
OSF, 2023
2023
MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper
M Hartman, P Toiviainen
University of Jyväskylä, 2021
2021
Musical training predicts cerebello-hippocampal coupling during music listening Iballa Burunat Finnish Centre for Interdisciplinary Music Research, Department of Music, Art and …
E Brattico, M Hartmann, P Vuust, T Särkämö, P Toiviainen
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Articles 1–19