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Josh H. McDermott

Josh H. McDermott

D-Index & Metrics

Computer Science

D-Index
43
Citations
18193
World Ranking
7750
National Ranking
3348

Research.com Recognitions

  • 2018 - Troland Research Awards, United States National Academy of Sciences For groundbreaking research into how humans hear and interpret sound.

Overview

Josh H. McDermott is affiliated with MIT in the United States and has contributed extensively to the fields of neuroscience and computer science. Their research spans several subfields including cognitive neuroscience, signal processing, experimental and cognitive psychology, computer vision and pattern recognition, and developmental biology.

The primary focus of their work involves the intersection of neuroscience and music perception, hearing loss and rehabilitation, and music and audio processing. Other main topics include multisensory perception and integration, neural dynamics and brain function, animal vocal communication and behavior, and speech and audio processing.

Prominent publication venues for McDermott include bioRxiv (Cold Spring Harbor Laboratory) with 17 publications, arXiv (Cornell University) with 6, Cognition with 4, Current Biology with 3, and Nature Communications with 3.

Recent papers authored or coauthored by McDermott are:

  • ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation (2020), arXiv (Cornell University)
  • A neural population selective for song in human auditory cortex (2022), Current Biology
  • Perceptual fusion of musical notes by native Amazonians suggests universal representations of musical intervals (2020), Nature Communications
  • Deep neural network models of sound localization reveal how perception is adapted to real-world environments (2022), Nature Human Behaviour
  • Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries (2024), Nature Human Behaviour

Frequent coauthors of Josh H. McDermott include Jenelle Feather, Malinda J. McPherson, Dana Boebinger, Sam V. Norman-Haignere, and James Traer.

In 2018, McDermott received the Troland Research Award from the United States National Academy of Sciences for research concerning how humans hear and interpret sound.

Best Publications

  • The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception

    Nancy Kanwisher;Josh McDermott;Marvin M. Chun;Marvin M. Chun

  • A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

    Alexander J.E. Kell;Daniel L.K. Yamins;Erica N. Shook;Sam V. Norman-Haignere

  • Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition

    Samuel Victor Norman-Haignere;Nancy Kanwisher;Joshua H. McDermott

  • The Sound of Pixels

    Hang Zhao;Chuang Gan;Chuang Gan;Andrew Rouditchenko;Carl Vondrick;Carl Vondrick

  • The cocktail party problem.

    Josh H. McDermott

  • Ambient Sound Provides Supervision for Visual Learning

    Andrew Hale Owens;Jiajun Wu;Joshua H. McDermott;William T. Freeman;William T. Freeman

  • Visually Indicated Sounds

    Andrew Owens;Phillip Isola;Josh McDermott;Antonio Torralba

  • Functional imaging of human visual recognition

    Nancy Kanwisher;Marvin M Chun;Josh McDermott;Patrick J Ledden

  • Summary statistics in auditory perception

    Josh H McDermott;Michael Schemitsch;Eero P Simoncelli

  • THE ORIGINS OF MUSIC: INNATENESS, UNIQUENESS, AND EVOLUTION

    Josh McDERMOTT;Marc Hauser

  • Integer Ratio Priors on Musical Rhythm Revealed Cross-culturally by Iterated Reproduction

    Nori Jacoby;Nori Jacoby;Josh H. McDermott

  • The cortical analysis of speech-specific temporal structure revealed by responses to sound quilts

    Tobias Overath;Josh H McDermott;Jean Mary Zarate;David Poeppel;David Poeppel

  • Music perception, pitch, and the auditory system

    Josh H McDermott;Andrew J Oxenham

  • Statistics of natural reverberation enable perceptual separation of sound and space

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  • Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing.

    Nori Jacoby;Nori Jacoby;Eduardo A. Undurraga;Malinda J. McPherson;Malinda J. McPherson;Joaquín Valdés

  • Recovering sound sources from embedded repetition

    Josh H. McDermott;David Wrobleski;Andrew J. Oxenham

  • ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

    Chuang Gan;Jeremy Schwartz;Seth Alter;Martin Schrimpf

  • Is Relative Pitch Specific to Pitch

    Josh H. McDermott;Andriana J. Lehr;Andrew J. Oxenham

  • Self-supervised Audio-visual Co-segmentation

    Andrew Rouditchenko;Hang Zhao;Chuang Gan;Josh McDermott

  • Deep neural network models of sensory systems: windows onto the role of task constraints.

    Alexander Je Kell;Josh H McDermott

  • Beyond Junctions: Nonlocal form Constraints on Motion Interpretation:

    Josh McDermott;Yair Weiss;Edward H Adelson

  • Psychophysics with junctions in real images

    Josh McDermott

  • Musical intervals and relative pitch: frequency resolution, not interval resolution, is special.

    Josh H. McDermott;Michael V. Keebler;Christophe Micheyl;Andrew J. Oxenham

  • Neural responses to natural and model-matched stimuli reveal distinct computations in primary and non-primary auditory cortex

    Sam V. Norman-Haignere;Josh H. McDermott

  • Summary statistics in auditory perception

    Michael Schemitsch;Eero P Simoncelli;Josh McDermott

Frequent Co-Authors

Andrew J. Oxenham
Andrew J. Oxenham University of Minnesota
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Marc D. Hauser
Marc D. Hauser Harvard University
Eero P. Simoncelli
Eero P. Simoncelli New York University
Jiajun Wu
Jiajun Wu Stanford University

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