The association between liking, learning and creativity in music

被引:1
作者
Zioga, Ioanna [1 ]
Harrison, Peter M. C. [2 ,3 ]
Pearce, Marcus [2 ]
Bhattacharya, Joydeep [4 ]
Luft, Caroline Di Bernardi [5 ]
机构
[1] Radboud Univ Nijmegen, Donders Ctr Cognit Neuroimaging, Donders Inst Brain Cognit & Behav, NL-6525 EN Nijmegen, Netherlands
[2] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[3] Univ Cambridge, Fac Mus, Cambridge, England
[4] Goldsmiths Univ London, Dept Psychol, London SE14 6NW, England
[5] Brunel Univ London, Div Psychol, CHMLS Life Sci, London UB8 3PH, England
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
REPETITION SUPPRESSION; PREDICTION ERROR; NEURAL RESPONSES; EXPECTATION; DOPAMINE; COMPLEXITY; BRAIN; PERCEPTION; SEQUENCES; EXPOSURE;
D O I
10.1038/s41598-024-70027-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aesthetic preference is intricately linked to learning and creativity. Previous studies have largely examined the perception of novelty in terms of pleasantness and the generation of novelty via creativity separately. The current study examines the connection between perception and generation of novelty in music; specifically, we investigated how pleasantness judgements and brain responses to musical notes of varying probability (estimated by a computational model of auditory expectation) are linked to learning and creativity. To facilitate learning de novo, 40 non-musicians were trained on an unfamiliar artificial music grammar. After learning, participants evaluated the pleasantness of the final notes of melodies, which varied in probability, while their EEG was recorded. They also composed their own musical pieces using the learned grammar which were subsequently assessed by experts. As expected, there was an inverted U-shaped relationship between liking and probability: participants were more likely to rate the notes with intermediate probabilities as pleasant. Further, intermediate probability notes elicited larger N100 and P200 at posterior and frontal sites, respectively, associated with prediction error processing. Crucially, individuals who produced less creative compositions preferred higher probability notes, whereas individuals who composed more creative pieces preferred notes with intermediate probability. Finally, evoked brain responses to note probability were relatively independent of learning and creativity, suggesting that these higher-level processes are not mediated by brain responses related to performance monitoring. Overall, our findings shed light on the relationship between perception and generation of novelty, offering new insights into aesthetic preference and its neural correlates.
引用
收藏
页数:14
相关论文
共 94 条
  • [61] Electrophysiological correlates of melodic processing in congenital amusia
    Omigie, Diana
    Pearce, Marcus T.
    Williamson, Victoria J.
    Stewart, Lauren
    [J]. NEUROPSYCHOLOGIA, 2013, 51 (09) : 1749 - 1762
  • [62] Tracking of pitch probabilities in congenital amusia
    Omigie, Diana
    Pearce, Marcus T.
    Stewart, Lauren
    [J]. NEUROPSYCHOLOGIA, 2012, 50 (07) : 1483 - 1493
  • [63] FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
    Oostenveld, Robert
    Fries, Pascal
    Maris, Eric
    Schoffelen, Jan-Mathijs
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2011, 2011
  • [64] Relationship between complexity and liking as a function of expertise
    Orr, MG
    Ohlsson, S
    [J]. MUSIC PERCEPTION, 2005, 22 (04): : 583 - 611
  • [65] Not What U Expect: Effects of Prediction Errors on Item Memory
    Ortiz-Tudela, Javier
    Nolden, Sophie
    Pupillo, Francesco
    Ehrlich, Isabelle
    Schommartz, Iryna
    Turan, Goezem
    Shing, Yee Lee
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2023, 152 (08) : 2160 - 2176
  • [66] Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies
    Oudeyer, P. -Y.
    Gottlieb, J.
    Lopes, M.
    [J]. MOTIVATION: THEORY, NEUROBIOLOGY AND APPLICATIONS, 2016, 229 : 257 - 284
  • [67] Pearce M. T., 2005, PhD thesis
  • [68] Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation
    Pearce, Marcus T.
    [J]. ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 2018, 1423 (01) : 378 - 395
  • [69] The role of expectation and probabilistic learning in auditory boundary perception: A model comparison
    Pearce, Marcus T.
    Muellensiefen, Daniel
    Wiggins, Geraint A.
    [J]. PERCEPTION, 2010, 39 (10) : 1365 - 1389
  • [70] Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation
    Pearce, Marcus T.
    Ruiz, Maria Herrojo
    Kapasi, Selina
    Wiggins, Geraint A.
    Bhattacharya, Joydeep
    [J]. NEUROIMAGE, 2010, 50 (01) : 302 - 313