Director, Music Dynamics Laboratory
Professor, Psychological Sciences & Physics
President, Society for Music Perception and Cognition
Office: Bousfield 186C
Phone: (860) 486-2538
Fax: (860) 486-2760
Dr. Large’s research areas include nonlinear dynamical systems, auditory neuroscience, and music psychology. He uses theoretical modeling in conjunction with behavioral, comparative, neurophysiological and neuroimaging techniques to understand how people respond to complex, temporally structured sequences of sound such as music and speech. He and his colleagues have pioneered the idea that attention is a dynamic, and inherently rhythmic process. He has applied these ideas to explain the rhythmic structure of music, and its interaction with brain dynamics. His current research projects include studies of driven nonlinear oscillator networks, nonlinear cochlear models, auditory brainstem neurodynamics, cortical dynamics of attention, perception of rhythm in music and speech, perception of tonality in music, auditory pattern recognition and learning, emotional communication in music, and rhythmic interactions in nonhuman primates.
Dr. Large directs the Music Dynamics Laboratory at University of Connecticut, where he is a Professor of Psychological Sciences and Professor of Physics. He is Associate Editor at Frontiers in Auditory Cognitive Neuroscience and Music Perception and he currently serves as President of the Society for Music Perception and Cognition. Dr. Large received his Ph.D. from The Ohio State University in 1994, and he did his postdoctoral work at University of Pennsylvania. He has published over 70 articles in journals such as Psychological Review, Physica, Journal of the Acoustical Society of America, Music Perception, and Journal of Computational Neuroscience and he has been awarded five patents. He is the recipient of numerous awards including a National Science Foundation CAREER Award and a Fulbright Visiting Chair in the Science and Technology of Music at McGill University.
Large, E. W., Kim, J. C., Flaig, N., Bharucha, J., & Krumhansl, C. L. (2016). A neurodynamic account of musical tonality. Music Perception. 33 (3), 319-331. doi: 10.1525/mp.2016.33.3.319
Kim, J. C., & Large, E. W. (2015). Signal processing in periodically forced gradient frequency neural networks. Frontiers in Computational Neuroscience. 9:152. doi: 10.3389/fncom.2015.00152
Large, E. W., Herrera J. A. and Velasco M. J. (2015). Neural networks for beat perception in musical rhythm. Frontiers in Systems Neuroscience. 9 (159). doi: 10.3389/fnsys.2015.00159
Large, E. W. & Gray, P. (2015). Spontaneous tempo and entrainment in a bonobo (Pan paniscus). Journal of Comparative Psychology, 129 (4), 317-28. doi: 10.1037/com0000011
Lerud, K. L., Almonte, F. V., Kim, J. C. & Large, E. W. (2014). Mode-locked neural oscillation predicts human auditory brainstem responses to musical intervals. Hearing Research, 308, 41-49. doi: 10.1016/j.heares.2013.09.010
Fujioka, T., Trainor, L. J., Large, E. W. & Ross, B. (2012). Internalized timing of isochronous sounds is represented in neuromagnetic beta oscillations. The Journal of Neuroscience, 32, 1791-1802. doi: 10.1523/JNEUROSCI.4107-11.2012