Evidence accumulation modelling in the wild: Understanding safety-critical decisions
Evidence accumulation models (EAMs) are a class of computational cognitive model used to
understand the latent cognitive processes that underlie human decisions and response …
understand the latent cognitive processes that underlie human decisions and response …
Simultaneous hierarchical bayesian parameter estimation for reinforcement learning and drift diffusion models: a tutorial and links to neural data
ML Pedersen, MJ Frank - Computational Brain & Behavior, 2020 - Springer
Cognitive models have been instrumental for generating insights into the brain processes
underlying learning and decision making. In reinforcement learning it has recently been …
underlying learning and decision making. In reinforcement learning it has recently been …
A new model of decision processing in instrumental learning tasks
Learning and decision-making are interactive processes, yet cognitive modeling of error-
driven learning and decision-making have largely evolved separately. Recently, evidence …
driven learning and decision-making have largely evolved separately. Recently, evidence …
[HTML][HTML] Mutual benefits: Combining reinforcement learning with sequential sampling models
Reinforcement learning models of error-driven learning and sequential-sampling models of
decision making have provided significant insight into the neural basis of a variety of …
decision making have provided significant insight into the neural basis of a variety of …
Modeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning
SD McDougle, AGE Collins - Psychonomic bulletin & review, 2021 - Springer
What determines the speed of our decisions? Various models of decision-making have
focused on perceptual evidence, past experience, and task complexity as important factors …
focused on perceptual evidence, past experience, and task complexity as important factors …
Exemplifying “Us”: Integrating social identity theory of leadership with cognitive models of categorization
Identity leadership theorizing suggests that leadership effectiveness derives from a potential
leader's perceived ability to create, embody, promote, and embed a shared group identity …
leader's perceived ability to create, embody, promote, and embed a shared group identity …
Dysfunctional feedback processing in male methamphetamine abusers: Evidence from neurophysiological and computational approaches
Methamphetamine use disorder (MUD) as a major public health risk is associated with
dysfunctional neural feedback processing. Although dysfunctional feedback processing in …
dysfunctional neural feedback processing. Although dysfunctional feedback processing in …
Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T
The model‐free algorithms of “reinforcement learning”(RL) have gained clout across
disciplines, but so too have model‐based alternatives. The present study emphasizes other …
disciplines, but so too have model‐based alternatives. The present study emphasizes other …
A revised diffusion model for conflict tasks
PS Lee, DK Sewell - Psychonomic Bulletin & Review, 2024 - Springer
The recently developed diffusion model for conflict tasks (DMC) Ulrich et al.(Cognitive
Psychology, 78, 148–174,) provides a good account of data from all standard conflict tasks …
Psychology, 78, 148–174,) provides a good account of data from all standard conflict tasks …
Prospective memory decision control: A computational model of context effects on prospective memory.
Prospective memory (PM) tasks require remembering to perform a deferred action and can
be associated with predictable contexts. We present a theory and computational model …
be associated with predictable contexts. We present a theory and computational model …