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Samuel Norman-Haignere, Ph.D.

Contact Information

Research Labs

Computational Neuroscience of Audition

Visit Computational Neuroscience of Audition Lab Website

Faculty Appointments

Biography

Research

Dr. Norman-Haignere is a cognitive computational neuroscientist, studying how the human brain perceives and understands natural sounds like speech and music. He completed undergraduate studies at Yale and doctoral work at MIT (advisors: Josh McDermott & Nancy Kanwisher). He then completed two postdocs at École Normale Supérieure (advisor: Shihab Shamma) and Columbia University (advisor: Nima Mesgarani), before joining the faculty at the University of Rochester. His research develops computational and experimental methods to understand the representation of complex, natural stimuli in the human brain and applies these methods to understand the neural and computational mechanisms that underlie human hearing.

Credentials

Education

2010
BA | Yale University
Cognitive Science

2015
PhD | Massachusetts Institute of Technology
Neuroscience

Publications

Journal Articles

2/18/2022
Norman-Haignere SV, Feather J, Boebinger D, Brunner P, Ritaccio A, McDermott JH, Schalk G, Kanwisher N. "A neural population selective for song in human auditory cortex." Current biology : CB.. 2022 Feb 18; Epub 2022 Feb 18.

2/10/2022
Norman-Haignere SV, Long LK, Devinsky O, Doyle W, Irobunda I, Merricks EM, Feldstein NA, McKhann GM, Schevon CA, Flinker A, Mesgarani N. "Multiscale temporal integration organizes hierarchical computation in human auditory cortex." Nature human behaviour.. 2022 Feb 10; Epub 2022 Feb 10.

11/18/2021
Landemard A, Bimbard C, Demené C, Shamma S, Norman-Haignere S, Boubenec Y. "Distinct higher-order representations of natural sounds in human and ferret auditory cortex." eLife.. 2021 Nov 18; 10Epub 2021 Nov 18.

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