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Ph.D., Eastman School of Music
Research Interests
Music cognition is an interdisciplinary approach to understanding the mental processes that support musical behaviors, including perception, comprehension, memory, attention, and performance. Like language, music is a uniquely human capacity that arguably played a central role in the origins of human cognition, and music is more and more acknowledged as fundamental to our understanding of cognition as a whole. My goals are to investigate through various means the relationship between music and human cognition. Investigative methods include neuroimaging (MEG, fMRI) and behavioral studies. I am most interested in computational and mathematical modeling, music and language, expectation, memory, learning and plasticity, emotion, and musical preference. Current research includes the effect of temporal plasticity on the perception of expected and unexpected tone sequences and the geometric modeling of chord sequences.
Recent Publications
Aguila, E. & Randall, R. (2011). The Effect of Musical Expectation on Short-term Phonological Memory. Society for Music Perception and Cognition. Rochester, NY.
Randall, R. & Khan, B. (2010). Fred Lerdahl’s Tonal Pitch Space Model and Associated Metric Spaces. Journal of Mathematics and Music 4/3.
Randall, R. & Sudre, G. (2010). Modeling human brain activity associated with chronologically dynamic melodic expectations. Proceedings of the International Conference on Music Perception and Cognition. Seattle. University of Washington Press.
Randall, R. & Khan, B. (2006). Similarity Measures for Tonal Models. In (Eds.) M. Baroni, A. R. Addessi, R. Casterina, and M. Costa. Proceedings of the International Conference on Music Perception and Cognition. Bologna, Italy: Bononia University Press.
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