Implicit learning is a core process for the acquisition of a complex, rule‐based environment from mere interaction, such as motor action, skill acquisition, or language. A body of evidence suggests that implicit knowledge governs music acquisition and perception in nonmusicians and musicians, and that both expert and nonexpert participants acquire complex melodic, harmonic, and other features from mere exposure. While current findings and computational modeling largely support the learning of chunks, some results indicate learning of more complex structures. Despite the (...) body of evidence, more research is required to support the cross‐cultural validity of implicit learning and to show that core and more complex music theoretical features are acquired implicitly. (shrink)

The ongoing generation of expectations is fundamental to listeners’ experience of music, but research into types of statistical information that listeners extract from musical melodies has tended to emphasize transition probabilities and n‐grams, with limited consideration given to other types of statistical learning that may be relevant. Temporal associations between scale degrees represent a different type of information present in musical melodies that can be learned from musical corpora using expectation networks, a computationally simple method based on activation and decay. (...) Expectation networks infer the expectation of encountering one scale degree followed in the near (but not necessarily immediate) future by another given scale degree, with previous work suggesting that scale degree associations learned by expectation networks better predict listener ratings of pitch similarity than transition probabilities. The current work outlines how these learned scale degree associations can be combined to predict melodic continuations and tests the resulting predictions on a dataset of listener responses to a musical cloze task previously used to compare two other models of melodic expectation, a variable‐order Markov model (IDyOM) and Temperley's music‐theoretically motivated model. Under multinomial logistic regression, all three models explain significant unique variance in human melodic expectations, with coefficient estimates highest for expectation networks. These results suggest that generalized scale degree associations informed by both adjacent and nonadjacent relationships between melodic notes influence listeners’ melodic predictions above and beyond n‐gram context, highlighting the need to consider a broader range of statistical learning processes that may underlie listeners’ expectations for upcoming musical events. (shrink)

The scientific investigation of music requires contributions from a diverse array of disciplines. Given the diverse methodologies, interests and research targets of the disciplines involved, we argue that there is a plurality of legitimate research questions about music, necessitating a focus on integration. In light of this we recommend a pluralistic conception of music—that there is no unitary definition divorced from some discipline, research question or context. This has important implications for how the scientific study of music ought to proceed: (...) we show that some definitions are complementary, that is, they reflect different research interests and ought to be retained and, where possible, integrated, while others are antagonistic, they represent real empirical disagreement about music’s nature and how to account for it. We illustrate this in discussion of two related issues: questions about the evolutionary function of music, and questions of the innateness of music. These debates have been, in light of pluralism, misconceived. We suggest that, in both cases, scientists ought to proceed by constructing integrated models which take into account the dynamic interaction between different aspects of music. (shrink)

Music is a deeply entrenched human phenomenon. In this article, I argue that its evolutionary origins are intrinsically intertwined with the incremental anatomical, cognitive, social, and technological evolution of the hominin lineage. I propose an account of the evolution of Plio-Pleistocene hominins, focusing on traits that would be later implicated in music making. Such traits can be conceived as comprising the musicality mosaic or the multifaceted foundations of musicality. I then articulate and defend an account of protomusical behaviour, drawing theoretical (...) licence from the social brain framework of Robin Dunbar and colleagues, as well as the evolutionary framework for human culture and cooperation developed by Kim Sterelny. The role of gene-culture co-evolution and niche construction is brought to the fore in articulating the evolutionary account. Finally, I defend the view that music subsequently developed via processes of social learning and cumulative culture. (shrink)

Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically valid way. (...) It employed a cross-grammar design, using melodic materials from two modes that use the same scale. Findings indicated that Western participants unfamiliar with Indian music incidentally learned to identify distinctive features of each mode. Confidence ratings suggest that participants' performance was consistently correlated with confidence, indicating that they became aware of whether they were right in their responses; that is, they possessed explicit judgment knowledge. Altogether our findings show incidental learning in a realistic ecologically valid context during only a very short exposure, they provide evidence that incidental learning constitutes a powerful mechanism that plays a fundamental role in musical acquisition. (shrink)

Beyond the major-minor tonality that characterizes classical and contemporary Western musical genres, Turkish classical and folk music offer experimental psychologists a rich modal system in which cognition, development, and enculturation can be studied. Here, we present a cross-cultural experiment concerning implicit knowledge of musical scales. Five groups of participants—American musicians and nonmusicians, Turkish musicians and nonmusicians, and Turkish classical and folk music listeners—were asked to listen to brief melodies composed using the member tones of either the major scale or the (...) rast makam, a microtonal mode found within Turkish classical and folk genres with no equivalent in Western music. Following each melody, participants were asked to identify whether a probe tone had been presented in the melody, providing confidence ratings on a six-point scale. In general, participants’ short-term memory was influenced by implicit knowledge of musical scales, with the major scale eclipsing the rast makam even in listeners experienced with Turkish genres. Prior work and future directions in cross-cultural music cognition research are discussed. (shrink)