Abstract
Research on abstract concepts (AC) suggests that while some AC are enacted indirectly and occasionally, others are largely grounded in our sensory–motor and affective experience, and the opportunities to enact them are countless, which would allow us to acquire them without supervision. From this, the following question arises: do embodiment and repeated exposure suffice to dispense with supervision in abstract concepts acquisition (ACA)? In the present study, this question was addressed in the context of tonal music cognition, which demands a high level of abstraction, and via musical materials that participants had frequently heard and sung. Specifically, highly trained, moderately trained, and untrained participants (24 each) were given 12 well-known melodic fragments ending on tones instantiating 6 different scale degrees (2 times each) and asked to group (round 1) or pair (round 2) those fragments whose last tone conveyed the same (or a similar enough) level of stability or rest. If embodiment and repeated exposure suffice for ACA, then one would expect a scale degree-based grouping strategy regardless of participants’ training level. Results showed that only highly trained participants systematically grouped stimuli ending on the same scale degree, particularly in round 2; moderately trained participants’ performance was mixed, and tonality’s influence on untrained participants was negligible. Further, moderately trained and untrained participants performed inconsistently, discarding in round 2 almost all of the pairs formed in round 1. These findings are integrated with previous findings on the effect of language, affect, and category type on conceptualization to account for why and when ACA requires supervision.
Similar content being viewed by others
Availability of data, software, and material
The datasets, software, and materials generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Notes
A complete description of the Western tonal system is beyond the scope of this article. However, it is worth mentioning that it is based on the idea that pitches or ‘tones’ (e.g., those produced by each key on a piano, and referred to with letters and numbers; e.g., C4) are grouped into a set of 12 pitch classes (C, C♯/Db, D, D♯/Eb, E, F, F♯/Gb, G, G♯/Ab, A, A♯/Bb, and B), which in turn are organized around subsets of 7 pitch classes, called ‘diatonic scales’ (e.g., the C major scale, C, D, E, F, G, A, and B), in which one pitch class, called the ‘tonic’ or ‘1st scale degree’, is taken as reference (e.g., the class C, in the C major scale). In a given piece of music, any subset of tones may be used, but references must be made to a scale, and most importantly to its tonic.
In single sessions (lasting, on average, 90 min), all of the participants worked (in a balanced design) not only with the 12 known fragments described above, but also with 12 novel, ad-hoc created melodies. Novel melodies (composed in accordance with basic principles of melodic structuring, e.g., to keep tones proximate in pitch) were used as control stimuli; they were more homogeneous than know fragments: besides instantiating only major keys, ending only on steps, etc., they had the same scale degree distribution (up to the occurrence of the last/target tone); the same steady rhythm (in which each tone lasted 0.67 s); virtually the same (10 or 11 semitones) range; and always ended on a tone (in a register from D3 to Eb4) closer (in pitch) to the center of their range than to the extremes. The results found with novel stimuli, however, largely mirrored those found with known stimuli. Hence, and given that we were interested in examining the scope of embodiment and exposure in tonal CA, only those aspects of the study related to know stimuli are report here.
With 11 min for working, participants had time enough as to hear each stimulus at least 4 times; we assumed that this would represent a balance between the opportunities needed to grasp their tonal experience at the end of the fragments and the amount of work they were required to do. (Recall—see footnote 2—that all of the participants worked not only with known but also with novel stimuli—that could also be heard at least 4 times each per round). In addition, a timer showing a countdown—in minutes and seconds—was always provided within each round, to help the participants to organize their work. It is worth mentioning that all of the participants finished the tasks within the allocated time, and that none of them reported having had any trouble for completing the study.
References
Aldwell, E., Schachter, C., & Cadwallader, A. (2017). Harmony & Voice Leading (5th ed.). Cengage.
Amalric, M., & Dehaene, S. (2016). Origins of the brain networks for advanced mathematics in expert mathematicians. Proceedings of the National Academy of Sciences, 113, 4909–4917. https://doi.org/10.1073/pnas.1603205113
Andrianopoulou, M. (2020). Aural education: Reconceptualizing ear training in higher music learning. Routledge.
Anta, J. F. (2013). Exploring the influence of pitch proximity on listener’s melodic expectations. Psychomusicology: Music, Mind, and Brain, 23(3), 151–167. https://doi.org/10.1037/a0034762
Anta, J. F. (2017). Pitch dispersal and the perception of tonal strength in Schoenberg’s oeuvre. Music Perception, 34(5), 541–556. https://doi.org/10.1525/mp.2017.34.5.541
Antović, M. (2018). Schemas, grounds, meaning: On the emergence of musical concepts through conceptual blending. Musicae Scientiae, 22(1), 57–71. https://doi.org/10.1177/1029864917711218
Arthur, C. (2018). A perceptual study of scale-degree qualia in context. Music Perception, 35(3), 295–314. https://doi.org/10.1525/mp.2018.35.3.295
Ashby, F. G., & O’Brien, J. R. B. (2007). The effects of positive versus negative feedback on information-integration category learning. Perception & Psychophysics, 69, 865–878. https://doi.org/10.3758/BF03193923
Ashby, F. G., & Maddox, W. T. (2011). Human category learning 2.0. Annals of the New York Academy of Sciences, 1224(1), 147–161. https://doi.org/10.1111/j.1749-6632.2010.05874.x
Barrett, K. C., Ashley, R., Strait, D. L., & Kraus, N. (2013). Art and science: How musical training shapes the brain. Frontiers in Psychology, 4, Article 713. https://doi.org/10.3389/fpsyg.2013.00713
Barrett, L. F. (2006). Solving the emotion paradox: Categorization and the experience of emotion. Personality and Social Psychology Review, 10(1), 20–46. https://doi.org/10.1207/s15327957pspr1001_2
Barsalou, L. W. (1983). Ad hoc categories. Memory & Cognition, 11(3), 211–227. https://doi.org/10.3758/BF03196968
Barsalou, L. W. (1991). Deriving categories to achieve goals. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (pp. 1–64). Academic Press. https://doi.org/10.1016/S0079-7421(08)60120-6
Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22(4), 577–660. https://doi.org/10.1017/S0140525X99002149
Barsalou, L. W., Dutriaux, L., & Scheepers, C. (2018). Moving beyond the distinction between concrete and abstract concepts. Philosophical Transactions of the Royal Society b: Biological Sciences, 373(1752), 20170144. https://doi.org/10.1098/rstb.2017.0144
Barton, M. E., & Komatsu, L. K. (1989). Defining features of natural kinds and artifacts. Journal of Psycholinguistic Research, 18(5), 433–447. https://doi.org/10.1007/BF01067309
Besson, M., & Faïta, F. (1995). An event-related potential (ERP) study of musical expectancy: Comparison of musicians with nonmusicians. Journal of Experimental Psychology: Human Perception and Performance, 21(6), 1278–1296. https://doi.org/10.1037/0096-1523.21.6.1278
Bharucha, J. J. (1984). Event hierarchies, tonal hierarchies, and assimilation: A Reply to Deutsch and Dowling. Journal of Experimental Psychology: General, 113(3), 421–425. https://doi.org/10.1037/0096-3445.113.3.421
Bharucha, J. J. (1987). Music cognition and perceptual facilitation: A connectionist framework. Music Perception, 5(1), 1–30. https://doi.org/10.2307/40285384
Bigand, E. (1997). Perceiving musical stability: The effect of tonal structure, rhythm, and musical expertise. Journal of Experimental Psychology: Human Perception and Performance, 23(3), 808–822. https://doi.org/10.1037/0096-1523.23.3.808
Bigand, E., & Poulin-Charronnat, B. (2006). Are we ‘“experienced listeners”’? A review of the musical capacities that do not depend on formal musical training. Cognition, 100(1), 100–130. https://doi.org/10.1016/j.cognition.2005.11.007
Bloom, P. (1996). Intention, history, and artifact concepts. Cognition, 60(1), 1–29. https://doi.org/10.1016/0010-0277(95)00699-0
Borghi, A. M., & Zarcone, E. (2016). Grounding abstractness: Abstract concepts and the activation of the mouth. Frontiers in Psychology, 7, 1498. https://doi.org/10.3389/fpsyg.2016.01498
Borghi, A. M., Binkofski, F., Castelfranchi, C., Cimatti, F., Scorolli, C., & Tummolini, L. (2017). The challenge of abstract concepts. Psychological Bulletin, 143(3), 263–292. https://doi.org/10.1037/bul0000089
Borghi, A. M., Fini, C., & Tummolini, L. (2021). Abstract concepts and metacognition: Searching for meaning in self and others. In M. D. Robinson & L. E. Roberts (Eds.), Embodied Psychology: Thinking, Feeling, and Acting (pp. 197–220). Springer.
Brower, C. (2000). A cognitive theory of musical meaning. Journal of Music Theory, 44(2), 323–379. https://doi.org/10.2307/3090681
Carey, S. (2011). Précis of The Origin of Concepts. Behavioral and Brain Sciences, 34(3), 113–167. https://doi.org/10.1017/S0140525X10000919
Carey, S. (2015). Why theories of concepts should not ignore the problem of acquisition. In E. Margolis & S. Laurence (Eds.), The conceptual mind: New directions in the study of concepts (pp. 415–454). MIT Press.
Casasanto, D., & Lupyan, G. (2015). All concepts are ad hoc concepts. In E. Margolis & S. Laurence (Eds.), The conceptual mind: New directions in the study of concepts (pp. 543–566). MIT Press.
Chew, E. (2014). Mathematical and computational modeling of tonality. Springer. https://doi.org/10.1007/978-1-4614-9475-1
Chrysikou, E. G. (2006). When shoes become hammers: Goal-derived categorization training enhances problem-solving performance. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32(4), 935–942. https://doi.org/10.1037/0278-7393.32.4.935
DeBellis, M. (1995). Music and conceptualization. Cambridge University Press
DeBellis, M. (2005). Conceptual and nonconceptual modes of music perception. Postgraduate Journal of Aesthetics, 2(2), 45–61.
Della Rosa, P. A., Catricalà, E., Vigliocco, G., & Cappa, S. F. (2010). Beyond the abstract–concrete dichotomy: Mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness norms for a set of 417 Italian words. Behavior Research Methods, 42(4), 1042–1048. https://doi.org/10.3758/BRM.42.4.1042
DeNora, T. (2000). Music in everyday life. Cambridge University Press. https://doi.org/10.1017/CBO9780511489433
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
Dove, G. (2018). Language as a disruptive technology: Abstract concepts, embodiment and the flexible mind. Philosophical Transactions of the Royal Society b: Biological Sciences, 373(1752), 20170135. https://doi.org/10.1098/rstb.2017.0135
Ekman, P. (1999). Basic emotions. In T. Dalgleish & M. J. Power (Eds.), Handbook of cognition and emotion (pp. 45–60). John Wiley & Sons Ltd. https://doi.org/10.1002/0470013494.ch3
Estes, Z. (2003). Domain differences in the structure of artifactual and natural categories. Memory & Cognition, 31(2), 199–214. https://doi.org/10.3758/BF03194379
Evans, V. (2015). What’s in a concept? Analog versus parametric concepts in LCCM theory. In E. Margolis & S. Laurence (Eds.), The conceptual mind: New directions in the study of concepts (pp. 251–290). MIT Press.
Fini, C., Era, V., Da Rold, F., Candidi, M., & Borghi, A. M. (2021). Abstract concepts in interaction: The need of others when guessing abstract concepts smooths dyadic motor interactions. R. Soc. Open Sci., 8, 201205. https://doi.org/10.1098/rsos.201205
Fischer, M. H., & Shaki, S. (2018). Number concepts: Abstract and embodied. Philosophical Transactional of the Royal Society B, 373, 20170125. https://doi.org/10.1098/rstb.2017.0125
Fitch, W. T. (2013). Rhythmic cognition in humans and animals: Distinguishing meter and pulse perception. Frontiers in Systems Neuroscience, 7, 68. https://doi.org/10.3389/fnsys.2013.00068
Fodor, J. A. (1998). Concepts: Where cognitive science went wrong. Clarendon Press.
Frank, M. C., Everett, D. L., Fedorenko, E., & Gibson, E. (2008). Number as a cognitive technology: Evidence from Pirahã language and cognition. Cognition, 108(3), 819–824. https://doi.org/10.1016/j.cognition.2008.04.007
Ghio, M., Vaghi, M. M. S., & Tettamanti, M. (2013). Fine-grained semantic categorization across the abstract and concrete domains. PLoS ONE, 8(6), e67090. https://doi.org/10.1371/journal.pone.0067090
Goldstone, R. L. (1996). Isolated and interrelated concepts. Memory & Cognition, 24(5), 608–628. https://doi.org/10.3758/BF03201087
Goldstone, R. L., Kersten, A., & Carvalho, P. F. (2012). Concepts and categorization. In Weiner, I. B, Healey, A. J., & Proctor, R. W. (Eds.), Handbook of Psychology (2nd ed., Vol. 4, pp. 607–630). John Wiley & Sons Ltd.
Granito, C., Scorolli, C., & Borghi, A. M. (2015). Naming a Lego world. The role of language in the acquisition of abstract concepts. PLoS ONE, 10(1), e0114615. https://doi.org/10.1371/journal.pone.0114615
Guan, C. Q., Meng, W., Yao, R., & Glenberg, A. M. (2013). The Motor System Contributes to Comprehension of Abstract Language. PLoS ONE, 8(9), e75183. https://doi.org/10.1371/journal.pone.0075183
Hayes, J. C., & Kraemer, D. J. M. (2017). Grounded understanding of abstract concepts: The case of STEM learning. Cognitive Research: Principles and Implications, 2(1), 1–15. https://doi.org/10.1186/s41235-016-0046-z
Huron, D. (2006). Sweet anticipation: Music and the psychology of expectation. MIT Press. https://doi.org/10.7551/mitpress/6575.001.0001
Hyer, B. (2002). Tonality. In T. Christensen (Ed.), The Cambridge history of Western music theory (pp.726–752). Cambridge University Press. https://doi.org/10.1017/CHOL9780521623711.025
Izard, V., Sann, C., Spelke, E. S., & Streri, A. (2009). Newborn infants perceive abstract numbers. Proceedings of the National Academy of Sciences, 106(25), 10382–10385. https://doi.org/10.1073/pnas.0812142106
Johnson, M. L., & Larson, S. (2003). “Something in the way she moves”–Metaphors of musical motion. Metaphor and Symbol, 18(2), 63–84. https://doi.org/10.1207/S15327868MS1802_1
Kaminski, J. A., Sloutsky, V. M., & Heckler, A. F. (2008). The advantage of abstract examples in learning math. Science, 320(5875), 454–455. https://doi.org/10.1126/science.1154659
Karpinski, G. S. (2000). Aural skills acquisition: The development of listening, reading, and performing skills in college-level musicians. Oxford University Press.
Kloos, H., & Sloutsky, V. M. (2008). What’s behind different kinds of kinds: Effects of statistical density on learning and representation of categories. Journal of Experimental Psychology: General, 137(1), 52–72. https://doi.org/10.1037/0096-3445.137.1.52
Kousta, S. T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: Why emotion matters. Journal of Experimental Psychology: General, 140(1), 14–34. https://doi.org/10.1037/a0021446
Kousta, S., Della Rosa, P. A., Cappa, S. F., & Vigliocco, G. (2007). The effect of mode of acquisition on lexical representation and processing. Paper presented at the 13th Annual Conference on Architectures and Mechanisms for Language Processing, Turku, Finland.
Kövecses, Z. (2003). Metaphor and emotion: Language, culture, and body in human feeling. Cambridge University Press.
Kristop, C. A., Moreno, S. J., & Anta, J. F. (2020). What do listeners understand by ‘continuity’ and ‘closure’? Tracking down the links between tonal expectancy, music training, and conceptualization. Psychology of Music, 48(3), 344–357. https://doi.org/10.1177/0305735618803000
Krumhansl, C. L. (1990). Cognitive foundations of musical pitch. Oxford University Press.
Lakoff, G. (1987). Women, fire and dangerous things: What categories reveal about the mind. University of Chicago Press.
Langland-Hassan, P., Faries, F. R., Gatyas, M., Dietz, A., & Richardson, M. J. (2021). Assessing abstract thought and its relation to language with a new nonverbal paradigm: Evidence from aphasia. Cognition, 211, 104622. https://doi.org/10.1016/j.cognition.2021.104622
Leman, M. (2008). Embodied music cognition and mediation technology. MIT Press. https://doi.org/10.7551/mitpress/7476.001.0001
Leman, M. (2010). An embodied approach to music semantics. Musicæ Scientiæ, 14(1_suppl), 43–67. https://doi.org/10.1177/10298649100140S104
Lerdahl, F. (2001). Tonal pitch space. Oxford University Press.
Lerdahl, F., & Jackendoff, R. (1983). A generative theory of tonal music. MIT Press.
Lerdahl, F., & Krumhansl, C. L. (2007). Modeling tonal tension. Music Perception, 24(4), 329–366. https://doi.org/10.1525/mp.2007.24.4.329
Lytle, S. R., & Kuhl, P. K. (2018). Social interaction and language acquisition: Toward a neurobiological view. In E. M. Fernández & H. S. Cairns (Eds.), The handbook of psycholinguistics (pp. 615–634). Wiley-Blackwell.
Maes, P., Leman, M., Palmer, C., & Wanderley, M. (2014). Action-based effects on music perception. Frontiers in Psychology, 4, 1008. https://doi.org/10.3389/fpsyg.2013.01008
Malt, B. C., & Johnson, E. C. (1992). Do artifact concepts have cores? Journal of Memory and Language, 31(2), 195–217. https://doi.org/10.1016/0749-596X(92)90011-L
Mareschal, D. (2003). The acquisition and use of implicit categories in early development. In D. H. Rakison & L. M. Oakes (Eds.), Early category and concept development: Making sense of the blooming, buzzing confusion (pp. 360–383). Oxford University Press.
Mazzuca, C., Majid, A., Lugli, L., Nicoletti, R., & Borghi, A. (2020). Gender is a multifaceted concept: Evidence that specific life experiences differentially shape the concept of gender. Language and Cognition, 12(4), 649–678. https://doi.org/10.1017/langcog.2020.15
McCaffrey, T. (2012). Innovation relies on the obscure: A key to overcoming the classic problem of functional fixedness. Psychological Science, 23(3), 215–218. https://doi.org/10.1177/0956797611429580
McDevitt, T. M., & Ormrod, J. E. (2020). Child development and education (7th Edition). Merrill/Prentice Hall.
Nuerk, H.-C., Moeller, K., Klein, E., Willmes, K., & Fischer, M. H. (2011). Extending the mental number line: A review of multi-digit number processing. Zeitschrift Fur Psychologie: Journal of Psychology, 219(1), 3–22. https://doi.org/10.1027/2151-2604/a000041
Ponari, M., Norbury, C. F., & Vigliocco, G. (2018). Acquisition of abstract concepts is influenced by emotional valence. Developmental Science, 21(2), e12549. https://doi.org/10.1111/desc.12549
Ponari, M., Norbury, C. F., & Vigliocco, G. (2020). The role of emotional valence in learning novel abstract concepts. Developmental Psychology, 56(10), 1855–1865. https://doi.org/10.1037/dev0001091
Rentfrow, P. J. (2012). The role of music in everyday life: Current directions in the social psychology of music. Social and Personality Psychology Compass, 6(5), 402–416. https://doi.org/10.1111/j.1751-9004.2012.00434.x
Rohrmeier, M., & Rebuschat, P. (2012). Implicit learning and acquisition of music. Topics in Cognitive Science, 4(4), 525–553. https://doi.org/10.1111/j.1756-8765.2012.01223.x
Scherer, K. R. (2005). What are emotions? And how can they be measured? Social Science Information, 44(4), 695–729. https://doi.org/10.1177/0539018405058216
Schwartz, D. L., & Goldstone, R. (2016). Learning as coordination: Cognitive psychology and education. In L. Corno & E. M. Anderman (Eds.), Handbook of educational psychology (pp. 61–75). Routledge/Taylor & Francis Group.
Sloman, S. A., & Malt, B. C. (2003). Artifacts are not ascribed essences, nor are they treated as belonging to kinds. Language and Cognitive Processes, 18(5/6), 563–582. https://doi.org/10.1080/01690960344000035
Sloutsky, V. M. (2010). From perceptual categories to concepts: What develops? Cognitive Science, 34(7), 1244–1286. https://doi.org/10.1111/j.1551-6709.2010.01129.x
Sloutsky, V. M., & Deng, W. S., (2019). Categories, concepts, and conceptual development. Language, Cognition and Neuroscience, 34(10), 1284–1297. https://doi.org/10.1080/23273798.2017.1391398
Smith, E. E., & Medin, D. L. (1981). Categories and concepts. Harvard University Press.
Strauss, G. P., & Allen, D. N. (2008). Emotional intensity and categorisation ratings for emotional and nonemotional words. Cognition and Emotion, 22(1), 114–133. https://doi.org/10.1080/02699930701319154
Temperley, D. (2007). Music and probability. MIT Press.
Temperley, D., & Marvin, E. W. (2008). Pitch-class distribution and the identification of key. Music Perception, 25(3), 193–212. https://doi.org/10.1525/mp.2008.25.3.193
Tillmann, B., Bharucha, J. J., & Bigand, E. (2000). Implicit learning of tonality: A self-organizing approach. Psychological Review, 107(4), 885–913. https://doi.org/10.1037/0033-295X.107.4.885
Vigliocco, G., Kousta, S. T., Della Rosa, P. A., Vinson, D. P., Tettamanti, M., Devlin, J. T., & Cappa, S. F. (2013). The neural representation of abstract words: The role of emotion. Cerebral Cortex, 24(7), 1767–1777. https://doi.org/10.1093/cercor/bht025
Villani, C., Lugli, L., Liuzza, M. T., Nicoletti, R., & Borghi, A. M. (2021). Sensorimotor and interoceptive dimensions in concrete and abstract concepts. Journal of Memory and Language, 116(104173), 1–12. https://doi.org/10.1016/j.jml.2020.104173
Wang, L., Uhrig, L., Jarraya, B., & Dehaene, S. (2015). Representation of numerical and sequential patterns in macaque and human brains. Current Biology, 25(15), 1966–1974. https://doi.org/10.1016/j.cub.2015.06.035
Wauters, L. N., Tellings, A. E., Van Bon, W. H., & Van Haaften, A. W. (2003). Mode of acquisition of word meanings: The viability of a theoretical construct. Applied Psycholinguistics, 24, 385–406. https://doi.org/10.1017/S0142716403000201
Weinberg, S. (2003). The Discovery of Subatomic Particles. Cambridge University Press.
Wiemer-Hastings, K., & Xu, X. (2005). Content differences for abstract and concrete concepts. Cognitive Science, 29(5), 719–736. https://doi.org/10.1207/s15516709cog0000_33
Wierzbicka, A. (2009). Language and metalanguage: Key issues in emotion research. Emotion Review, 1(1), 3–14. https://doi.org/10.1177/1754073908097175
Yee, E. (2019). Abstraction and concepts: When, how, where, what and why? Language, Cognition and Neuroscience, 34(10), 1257–1265. https://doi.org/10.1080/23273798.2019.1660797
Yee, E., & Thompson-Schill, S. L. (2016). Putting concepts into context. Psychonomic Bulletin & Review, 23(4), 1015–1027. https://doi.org/10.3758/s13423-015-0948-7
Zbikowski, L. M. (2002). Conceptualizing music: Cognitive structure, theory, and analysis. Oxford University Press.
Funding
This work was supported by the University of Buenos Aires (GRANT 20020170200344) and the National Council for Scientific and Technical Research (CONICET) of Argentina.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Ethics approval
Approval was obtained from an ethics committee of the University of Buenos Aires. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.
Consent to participate/for publication
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
López, G.F., Anta, J.F. Embodiment and repeated exposure do not suffice for abstract concepts acquisition: evidence from tonal music cognition. Psychological Research 87, 43–58 (2023). https://doi.org/10.1007/s00426-022-01662-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00426-022-01662-2