World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
67
Citations
23137
World Ranking
2831
National Ranking
1315

Computer Science

D-Index
62
Citations
18286
World Ranking
2862
National Ranking
1414

Psychology

D-Index
63
Citations
21378
World Ranking
3067
National Ranking
1745

Research.com Recognitions

  • 2007 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Michael J. Tarr is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the fields of Computer Science and Neuroscience, with significant contributions in Cognitive Neuroscience and Computer Vision and Pattern Recognition. Additional subfields include Artificial Intelligence, Biophysics, and Nutrition and Dietetics.

The scientist's work revolves around key topics such as visual perception and processing mechanisms, visual attention and saliency detection, face recognition and perception, multimodal machine learning applications, neural dynamics and brain function, domain adaptation and few-shot learning, and cell image analysis techniques.

Publications by Michael J. Tarr have appeared frequently in several venues, highlighting a prolific contribution to different domains. These venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • 2022 Conference on Cognitive Computational Neuroscience
  • PLoS ONE

Among the recent papers authored or co-authored by Michael J. Tarr are:

  • Improving the accuracy of single-trial fMRI response estimates using GLMsingle, 2022, eLife
  • Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset, 2023, Nature Machine Intelligence
  • Selectivity for food in human ventral visual cortex, 2023, Communications Biology
  • Learning Neural Acoustic Fields, 2022, arXiv (Cornell University)
  • GLMsingle: a toolbox for improving single-trial fMRI response estimates, 2022, bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators include:

  • Leila Wehbe
  • Margaret M. Henderson
  • Gabriel Sarch
  • Jacob S. Prince
  • Aria Wang

In recognition of scholarly work, Michael J. Tarr was awarded the fellowship of the John Simon Guggenheim Memorial Foundation in 2007.

Best Publications

  • Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects.

    Isabel Gauthier;Michael J. Tarr;Adam W. Anderson;Pawel Skudlarski

  • Becoming a “Greeble” Expert: Exploring Mechanisms for Face Recognition

    Isabel Gauthier;Michael J. Tarr

  • Mental rotation and orientation-dependence in shape recognition

    Michael J Tarr;Steven Pinker

  • The N170 occipito-temporal component is delayed and enhanced to inverted faces but not to inverted objects: an electrophysiological account of face-specific processes in the human brain

    Bruno Rossion;Isabel Gauthier;Michael J Tarr;P Despland

  • The Fusiform Face Area is Part of a Network that Processes Faces at the Individual Level

    Isabel Gauthier;Michael J. Tarr;Jill Moylan;Pawel Skudlarski

  • Early lateralization and orientation tuning for face, word, and object processing in the visual cortex

    Bruno Rossion;Carrie A Joyce;Garrison W Cottrell;Michael J Tarr

  • FFA: a flexible fusiform area for subordinate-level visual processing automatized by expertise

    Michael J. Tarr;Isabel Gauthier

  • Image-based object recognition in man, monkey and machine

    Michael J. Tarr;Hienrich H. Bülthoff

  • Rotating objects to recognize them: A case study on the role of viewpoint dependency in the recognition of three-dimensional objects

    Michael J. Tarr

  • Do humans integrate routes into a cognitive map? Map- versus landmark-based navigation of novel shortcuts.

    Patrick Foo;William H. Warren;Andrew Duchon;Michael J. Tarr

  • Training ‘greeble’ experts: a framework for studying expert object recognition processes

    Isabel Gauthier;Pepper Williams;Michael J. Tarr;James Tanaka

  • Is human object recognition better described by geon structural descriptions or by multiple views? Comment on Biederman and Gerhardstein (1993).

    Michael J. Tarr;Heinrich H. Bülthoff

  • How Are Three-Deminsional Objects Represented in the Brain?

    Heinrich H. Buelthoff;Shimon Y. Edelman;Michael J. Tarr

  • Unraveling mechanisms for expert object recognition: bridging brain activity and behavior.

    Isabel Gauthier;Michael J. Tarr

  • Three-dimensional object recognition is viewpoint dependent

    Michael J. Tarr;Pepper Williams;William G. Hayward;Isabel Gauthier

  • Can Face Recognition Really be Dissociated from Object Recognition

    Isabel Gauthier;Marlene Behrmann;Michael J. Tarr

  • Beyond faces and modularity: the power of an expertise framework

    Cindy M. Bukach;Isabel Gauthier;Michael J. Tarr

  • Expertise Training with Novel Objects Leads to Left-Lateralized Facelike Electrophysiological Responses

    Bruno Rossion;Bruno Rossion;Isabel Gauthier;Valérie Goffaux;Michael J Tarr

  • Spatial Language and Spatial Representation.

    William G. Hayward;Michael J. Tarr

  • Virtual reality in behavioral neuroscience and beyond.

    Michael J. Tarr;William H. Warren

  • The fusiform "face area" is part of a network that processes faces at the individual level (vol 12, pg 499, 2000)

    I Gauthier;M J Tarr;J Moylan;P Skudlarski

Frequent Co-Authors

Isabel Gauthier
Isabel Gauthier Vanderbilt University
Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Bruno Rossion
Bruno Rossion University of Lorraine
robert e kass
robert e kass Carnegie Mellon University
Daniel Kersten
Daniel Kersten University of Minnesota
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Pawel Skudlarski
Pawel Skudlarski Yale University
James W. Tanaka
James W. Tanaka University of Victoria
Jean M. Vettel
Jean M. Vettel United States Army Research Laboratory

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