YUKO MUNAKATA
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About
Yuko Munakata is a Professor at the University of California, Davis, in the United States. Her research focuses on cognitive control, procrastination, educational inequality, and child development, as highlighted in her recent articles. She explores how environmental predictability influences cognitive processes and examines the role of contextual factors in shaping executive functions across different age groups.
Recent Grants
Grant: Close
Developing Inhibitory Control
Open Date: 2017-02-01
Close Date: 2022-01-31
Grant: Close
Developing Adaptive Coordination of Executive Functions
Open Date: 2016-08-01
Close Date: 2021-05-31
Grant: Close
Representations Yielding Task-Dependent Flexibility
Open Date: 1998-12-15
Close Date: 2016-02-29
Grant: Close
REPRESENTATIONS YIELDING INFANT TASK-DEPENDENT BEHAVIOR
Open Date: 1998-12-15
Close Date: 2003-11-30
Grant: Close
KDI: Discrete Representations in Working Memory: Developmental, Neuropsychological, and Computational Investigations
Open Date: 1998-10-01
Close Date: 2002-09-30
Articles (13)
Year:
2024
Year:
2024
Year:
2023
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2023
Year:
2023
Forming predictions about what will happen next in the world happens early in development, without instruction, and across species. Some environments support more accurate predictions. These more predictable environments also support what appear to be positive developmental trajectories, including increases in cognitive control over thoughts and actions. Such consequences of predictable environments have broad-reaching implications for society and have been explained across ecological, psychological, computational, and neural frameworks. However, many challenges remain in understanding the effects of environmental predictability, including adaptive responses to unpredictable environments and the mechanisms underlying the effects of predictable environments on developmental trajectories. Future work addressing different dimensions of predictability—across timescales, locations, actions, people, and outcomes—and their interactions will advance the ability to understand, predict, and support developmental trajectories.
Year:
2023
Year:
2023
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2022
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2021
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2021
Year:
2020
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2020
Year:
2020
Collaborators (4)
Winnie Zhuang
University of California
AKIRA MIYAKE
University of Colorado Boulder
Laura Michaelson
American Institutes for Research
Allison Zengilowski
Lehigh University
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