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Michael L Mack

Biographic Data

ID9463252
NAMEMichael L Mack
GIVEN NAMESMichael L
FAMILY NAMEMack
SIGNATUREMACK M L
AFFILIATIONSUniversity of Toronto
ORCID0000-0001-5155-7413
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1994
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Reconciling category exceptions through representational shifts

    Open Access•Yongzhen Xie, Michael L Mack•ARTICLE•Psychonomic Bulletin & Review•2024

  • Brief category learning distorts perceptual space for complex scenes

    Open Access•Gaeun Son, Dirk B Walther et al.•ARTICLE•Psychonomic Bulletin & Review•2024

  • Identifying the neural dynamics of category decisions with computational model-based functional magnetic resonance imaging

    Open Access•Emily M Heffernan, Emily Heffernan et al.•ARTICLE•Psychonomic Bulletin & Review•2021

    Successful categorization requires a careful coordination of attention, representation, and decision making. Comprehensive theories that span levels of analysis are key to understanding the computational and neural dynamics of categorization. Here, we build on recent work linking neural representations of category learning to computational models to investigate how category decision making is driven by neural signals across the brain. We uniquely…

  • Moments in Time and Space

    Open Access•Michael Mack, Michael L Mack•ARTICLE•The Art Book•1994

No prominent works on this page.

  • Moments in Time and Space

    Open Access•Michael Mack, Michael L Mack•ARTICLE•The Art Book•1994

  • Identifying the neural dynamics of category decisions with computational model-based functional magnetic resonance imaging

    Open Access•Emily M Heffernan, Emily Heffernan et al.•ARTICLE•Psychonomic Bulletin & Review•2021

    Successful categorization requires a careful coordination of attention, representation, and decision making. Comprehensive theories that span levels of analysis are key to understanding the computational and neural dynamics of categorization. Here, we build on recent work linking neural representations of category learning to computational models to investigate how category decision making is driven by neural signals across the brain. We uniquely…

  • Reconciling category exceptions through representational shifts

    Open Access•Yongzhen Xie, Michael L Mack•ARTICLE•Psychonomic Bulletin & Review•2024

  • Brief category learning distorts perceptual space for complex scenes

    Open Access•Gaeun Son, Dirk B Walther et al.•ARTICLE•Psychonomic Bulletin & Review•2024

Computer Science (4 works) · Artificial Intelligence (3 works) · Categorization (3 works) · Cognitive psychology (3 works) · Face Recognition and Perception (3 works) · Psychology (3 works) · Action Observation and Synchronization (2 works) · Child and Animal Learning Development (2 works) · Cognitive science (2 works) · Communication (2 works)

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