자료유형  

 학위논문

Control Number  

0017164234

International Standard Book Number  

9798346759720

Dewey Decimal Classification Number  

152

Main Entry-Personal Name  

Velazquez Vargas, Carlos Alan.

Publication, Distribution, etc. (Imprint  

[S.l.] : Princeton University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

149 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-06, Section: B.

General Note  

Advisor: Taylor, Jordan A.;Daw, Nathaniel D.

Dissertation Note  

Thesis (Ph.D.)--Princeton University, 2024.

Summary, Etc.  

요약Understanding how humans acquire novel motor skills is a central topic in motor learning research. However, much of the work in this field has focused on adaptation experiments, leaving other key aspects of de novo skill acquisition less explored. For many de novo skills, individuals must learn new associations between discrete actions and arbitrary outcomes. This is evident in digital devices like video games, where pressing buttons on a controller can make a character jump or run. These action-outcome mappings are fundamental to the formation of the new skill. Therefore, understanding how they are learned and consolidated is essential for advancing our knowledge of motor skill acquisition and its application to various domains, from gaming to real-world tool use.In Chapter 2, using a task of grid navigation, I study how these action-outcome mappings are acquired and examine the role of training variability in the formation of generalizable mappings. Crucially, when a novel mapping is being learned, it often occurs within the context of sequential decision-making, allowing the interaction of motor learning and planning. In Chapter 3, I investigate this interaction with the aim of bridging the gap between motor sequence learning and planning research. Finally, in Chapter 4, I study the effectiveness of external contextual cues in the learning of multiple mappings, which have proven unsuccessful in standard motor adaptation experiments. The behavioral results from each chapter of this dissertation are complemented by computational models that integrate algorithms from reinforcement learning, tree search, and Bayesian learning. These models aim to provide insights into the cognitive processes underlying participants' performance.

Subject Added Entry-Topical Term  

Experimental psychology.

Subject Added Entry-Topical Term  

Psychobiology.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Quantitative psychology.

Subject Added Entry-Topical Term  

Cognitive psychology.

Index Term-Uncontrolled  

Motor learning

Index Term-Uncontrolled  

Motor skills

Index Term-Uncontrolled  

Adaptation experiments

Index Term-Uncontrolled  

Novel mapping

Index Term-Uncontrolled  

Motor sequence learning

Added Entry-Corporate Name  

Princeton University Psychology

Host Item Entry  

Dissertations Abstracts International. 86-06B.

Electronic Location and Access  

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Control Number  

joongbu:655574