Michael A. Casey
James Wright Professor of MusicActing chair 18F, Department of MusicProfessor of Computer ScienceDirector, Graduate Program in Digital Musics
Professor Michael Casey's courses include interactive music and art, music theory, music cognition and neuroscience, sound analysis and synthesis, and music information retrieval. His research lab works on music understanding by humans and machines, how the human brain represents music, theories of music and mind, and neural decoding of musical sound from human brain imaging. Michael is jointly appointed in the Department of Music and the Department of Computer Science at Dartmouth. He was chair of the department of music from 2009 to 2013 and 2016-2018.
For more information, please visit Michael's personal website.
Courses
Selected Publications
Michael Casey, Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features, Frontiers in Psychology: Cognition, Research Topic Bridging Music Informatics with Music Cognition, 28 Jun, 2017.
Michael Hanke, Richard Dinga, Christian Häusler, J. Swaroop Guntupalli, Michael Casey, Falko R. Kaule, Jörg Stadler, High-resolution 7-Tesla fMRI data on the perception of musical genres, F1000 Research, F1000, June, 2015
Alexandra Rieger, Michael Casey, General Subjects Display Cross-Modal Responses to Musical Stimuli, Proceedings of the European Society for the Cognitive Sciences of Music (ESCOM), ESCOM, Manchster, UK, August, 2015
Alice Eldridge, Michael Casey, Paola Moscoso, Mika Peck, N. Morales, Toward the Extraction of Ecologically-Meaningful Soundscape Objects: A New Direction for Soundscape Ecology and Rapid Acoustic Biodiversity Assessment?, Intl Workshop on Big Data Sciences for Bioacoustic Environmental Survey, Toulon, France, April, 2015
Alexandra Rieger, Michael Casey, Non-Auditory Associations of Musical and Non-Musical Sounds in General Listeners, International Congress on Synaesthesia, Art and Science V., ICSAS, Spain, May, 2015
Andrew Sarroff, Michael Casey, Musical Audio Synthesis Using Autoencoding Neural Networks, Proceedings of the International Computer Music Conference, ICMA, Athens, Greece, September, 2014
Works in Progress
NSF 1548177 (Principal Investigator) Collaborative Research: The Confluence of Music, Art and Science at Long-Term Ecological Research Sites. National Science Foundation (NSF) with Hubbard Brook Experimental Forest, NH, Aug 2015 - Jul 2018
NSF 1725451 (Co-Principal Investigator) MRI: Acquisition of an Acoustic Camera for Multidisciplinary Research and Teaching at Dartmouth College, National Science Foundation (NSF 1725451) with Hannah ter Hofstede (Principal Investigator), Sept 2017 - Aug 2020.
