YUKO MUNAKATA

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Professor

University of California, Davis
Country flagUnited States

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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

Year:

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

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (4)

Winnie Zhuang

University of California

UNITED STATES
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AKIRA MIYAKE

University of Colorado Boulder

UNITED STATES
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Laura Michaelson

American Institutes for Research

UNITED STATES
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Allison Zengilowski

Lehigh University

UNITED STATES
View details
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