upcoming seminar with Ian Cross

On Thursday, December 1st, we welcome professor Ian Cross (Cambridge University) to our virtual seminar. He will be talking about Music, Speech and Affiliative Communicative Interaction: Pitch and Rhythm as Interactive Affordances

Abstract: This paper presents the idea that, across cultures, musical interaction is communicative and intrinsically affiliative, overlapping significantly in function with the phatic speech register.  I will refer to experimental evidence that supports the view that joint music-making and phatic conversation can overlap not just in function but also in form.  I will suggest that what can be interpreted as phatic conversation or as participatory music are manifestations of a superordinate domain of affiliative communicative interaction, and will submit that features that we tend to think of as musical —such as discrete patterns in pitch and rhythm— are best construed not as aesthetic properties but as interactive affordances that may be functional in the achievement of interpersonal affiliative alignment.

Monday June 27th – Generation of New Musical Preferences from Hierarchical Mapping of Predictions to Reward with Psyche Loui

Prediction learning is considered a ubiquitous feature of biological systems that underlies perception, action, and reward. For cultural artifacts such as music, isolating the genesis of reward from prediction is challenging, since predictions are acquired implicitly throughout life. Here, we examined the trajectory of listeners’ preferences for melodies in a novel musical system, where predictions were systematically manipulated. Across seven studies (n = 842 total) in two cultures, preferences scaled with predictions: participants preferred melodies that were presented more during exposure (global predictions) and that followed schematic expectations (local predictions). Learning trajectories depended on music reward sensitivity. Furthermore, fMRI showed that while auditory cortical activity reflects predictions, functional connectivity between auditory and reward areas encodes preference. The results are the first to highlight the hierarchical, relatively culturally-independent process by which predictions map onto reward. Collectively, our findings propose a novel mechanism by which the human brain links predictions with reward value.

Monday 27/6 at 4pm (UK)

Tuesday May 31st – Optimizing Culture: Music, Data, and Platform Effects with Jeremy Morris

From automated recommendation systems that suggest what music we should listen to next to the vast catalogues of musical metadata that underpin sound effect and other sonic databases, the explosion of the sound commodities into digital data has had a significant impact on how we search for, discover, and experience music and other audio content (i.e. podcasts, audiobooks, etc.). As streaming services like Spotify, Apple Music, Tencent and others become central hubs for the playback of a variety of sound commodities, these platforms create new opportunities and challenges for music-makers and their audiences. As “multi-sided markets”, these audio platforms bring into contact a number of (sometimes competing, sometimes complementing) interests, including but ot limited to musicians, advertisers, brands, labels, audiences, software designers, and data analysts. At the intersection of these interests lies a trove of data that helps coordinate how sound culture circulates.

Tuesday May 31st 3pm (UK)

(note different day and time)

Music Engagement with Blair Kaneshiro 28/3

The Music Engagement Research Initiative is an interdisciplinary research group at CCRMA, Stanford University. Through various approaches including EEG studies, mixed-methods user research, accessibility research, and analysis of industrial data, we seek to increase our understanding of how and why humans engage with music. I will speak about our group’s research and teaching efforts around data publication and re-use. Over recent years, we have come to treat data not only as a by-product of music science research, but also as intentional scientific contributions that can be used by others. I will discuss how such efforts by the scientific community can not only support reproducible research, but also facilitate new discoveries through improved access across research fields.

Monday March 28th 4pm (UK)