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Stibel Dennett Consortium for Brain and Cognitive Science

Aniruddh D. Patel


Aniruddh D. Patel

Aniruddh D. Patel


Phone 617-627-4399
Psychology Building, Room 118
490 Boston Avenue, Medford, MA

Aniruddh (Ani) Patel is a Professor of Psychology at Tufts University. He received his BA from the University of Virginia (1987) and his AM (1990) and Ph.D. (1996) from Harvard University.

He then joined The Neurosciences Institute in San Diego, CA, where he was a Senior Fellow from 2005-2012.

Dr. Patel's work focuses on music cognition: the mental processes involved in making, perceiving, and responding to music. Areas of emphasis include music-language relations (the topic of his 2008 book, Music, Language, and the Brain, Oxford Univ. Press) rhythmic processing, and cross-species studies of music cognition. A wide variety of methods are used in this research, including brain imaging, behavioral experiments, theoretical analyses, acoustic research, and comparative studies with nonhuman animals.

Dr. Patel has served as President for the Society for Music Perception and Cognition (2009-2011) and is a Fellow in the Azrieli Brain, Mind, and Consciousness program in the Canadian Institute for Advanced Research (CIFAR).

Ph.D., Harvard University, 1996

Music Cognition

Selected Publications and Presentations: 

Patel, A.D. (2008). Music, Language, and the Brain. NY: Oxford University Press.

Hickey, P., Merseal, H., Patel, A.D., & Race, E. (2020). Neural tracking of naturalistic rhythm dynamically modulates memory formation. NeuroImage 213: 116693.

Jao Keehn, R.J., Iversen, J.R., Schulz, I., & Patel, A.D. (2019). Spontaneity and diversity of movement to music are not uniquely human. Current Biology, 29:R621-R622.

Patel, A.D. (2019). Evolutionary music cognition: Cross-species studies. In: P. J. Rentfrow & D. Levitin (Eds.) Foundations in Music Psychology: Theory and Research. Cambridge, MA: MIT Press (pp. 459-501).

Morgan, E., Fogel, A., Nair, A., & Patel. A.D. (2019). Statistical learning and Gestalt-like principles predict melodic expectation. Cognition, 189:23-34.

Patel, A.D. (2018). Music as a transformative technology of the mind: An update. In: H. Honing (Ed.) The Origins of Musicality (pp. 113-126). Cambridge, MA: MIT Press

Tierney, A.T., Patel, A.D., & Breen, M. (2018). Acoustic foundations of the speech-to-song illusion. J. Exp. Psychol: General, 147:888-904.

Bregman, M.R., Patel, A.D., & Gentner, T.Q. (2016). Songbirds use spectral shape, not pitch, for sound pattern recognition. PNAS. doi: 10.1073/pnas.1515380113

Kunert, R., Willems, R.M., Casasanto, D., Patel, A.D., & Hagoort, P. (2015). Music and language syntax interact in Broca's area: an fMRI study. PLOS One. 10(11): e0141069. doi:10.1371/journal.pone.0141069

Patel, A. D., & Iversen, J. R. (2014). The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis. Frontiers in systems neuroscience, 8:57 doi: 10.3389/fnsys.2014.00057

Patel, A. D. (2014). The evolutionary biology of musical rhythm: Was Darwin wrong? PLoS biology, 12(3), e1001821.

Patel, A.D. (2014). Can nonlinguistic musical training change the way the brain processes speech? The expanded OPERA hypothesis. Hearing Research, 308: 98–108.

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