Kyle J. LaFollette
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View article: Judgment of crowds as emotional increases with the proportion of black faces
Judgment of crowds as emotional increases with the proportion of black faces Open
View article: Bridging Internal and External Forces in Affect Dynamics
Bridging Internal and External Forces in Affect Dynamics Open
Emotions change through internal momentum and reactions to events. However, the literatures examining these forces have proceeded separately, emphasizing either endogenous regulation or exogenous value signals such as reward prediction err…
View article: Bridging Internal and External Forces in Affect Dynamics
Bridging Internal and External Forces in Affect Dynamics Open
Emotions change through internal momentum and reactions to events. However, the literatures examining these forces have proceeded separately, emphasizing either endogenous regulation or exogenous value signals such as reward prediction err…
View article: Challenging the Mechanism for the Implicit Association Test
Challenging the Mechanism for the Implicit Association Test Open
Implicit biases are stereotypes and attitudes that influence decisions and actions, contributing to discrimination and societal inequities. The Implicit Association Test (IAT) is the most widely used tool for measuring implicit bias, asses…
View article: Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans
Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans Open
Computational models of reinforcement learning (RL), have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, …
View article: Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans
Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans Open
Computational models of reinforcement learning (RL), have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, …
View article: Challenging the Mechanism for the Implicit Association Test
Challenging the Mechanism for the Implicit Association Test Open
Implicit biases are stereotypes and attitudes that influence decisions and actions, contributing to discrimination and societal inequities. The Implicit Association Test (IAT) is the most widely used tool for measuring implicit bias, asses…
View article: Challenging the Mechanism for the Implicit Association Test
Challenging the Mechanism for the Implicit Association Test Open
Implicit biases are stereotypes and attitudes that impact our decisions and actions, playing an important role in discrimination and societal inequities. The most widely used tool for measuring implicit bias is the Implicit Association Tes…
View article: Democratizing diffusion decision models: A comprehensive tutorial on developing, validating, and fitting diffusion decision models in Python with FlexDDM
Democratizing diffusion decision models: A comprehensive tutorial on developing, validating, and fitting diffusion decision models in Python with FlexDDM Open
Diffusion decision models (DDMs) are frequently used tools in the cognitive sciences for modeling decision-making processes. However, conventional DDM software often falls short in flexibility and accessibility, limiting researchers' abili…
View article: Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans
Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans Open
Computational models of reinforcement learning (RL), have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, …
View article: Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans
Data Driven Equation Discovery Reveals Non-linear Reinforcement Learning in Humans Open
Computational models of reinforcement learning (RL), have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, …
View article: Judgment of Crowds as Emotional Increases with the Proportion of Black Faces
Judgment of Crowds as Emotional Increases with the Proportion of Black Faces Open
Decades of research has sought to characterize how the racialization of faces affects the evaluation of those faces. However, research has mostly focused on the perception of single faces. In the current project we address this gap by exam…