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What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning,
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
The interpretation of computational model parameters depends on the context
Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences,
promising to explain behavior from simple conditioning to complex problem solving, to shed …
promising to explain behavior from simple conditioning to complex problem solving, to shed …
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal
During adolescence, youth venture out, explore the wider world, and are challenged to learn
how to navigate novel and uncertain environments. We investigated how performance …
how to navigate novel and uncertain environments. We investigated how performance …
Are adolescents more optimal decision‐makers in novel environments? Examining the benefits of heightened exploration in a patch foraging paradigm
Adolescence is a period of heightened exploration relative to adulthood and childhood. This
predisposition has been linked with negative behaviours related to risk‐taking, including …
predisposition has been linked with negative behaviours related to risk‐taking, including …
Local and global reward learning in the lateral frontal cortex show differential development during human adolescence
Reward-guided choice is fundamental for adaptive behaviour and depends on several
component processes supported by prefrontal cortex. Here, across three studies, we show …
component processes supported by prefrontal cortex. Here, across three studies, we show …
Stochastic decisions support optimal foraging of volatile environments, and are disrupted by anxiety
Adolescence is a developmental period of relative volatility, where the individual
experiences significant changes to their physical and social environment. The ability to …
experiences significant changes to their physical and social environment. The ability to …
Prepubertal ovariectomy alters dorsomedial striatum indirect pathway neuron excitability and explore/exploit balance in female mice
Decision-making circuits are modulated across life stages (eg juvenile, adolescent, or adult)—
as well as on the shorter timescale of reproductive cycles in females—to meet changing …
as well as on the shorter timescale of reproductive cycles in females—to meet changing …
Understanding the unique advantage of adolescents in stochastic, volatile environments: Combining reinforcement learning and Bayesian inference
MK Eckstein, SL Master, RE Dahl, L Wilbrecht… - 2020 - pure.mpg.de
During adolescence, youth venture out, explore the wider world, and are challenged to learn
how to navigate novel and uncertain environments. We investigated whether adolescents …
how to navigate novel and uncertain environments. We investigated whether adolescents …
[PDF][PDF] Childhood internalising problems
I Costantini, I Costantini - children - research-information.bris.ac.uk
The intergenerational transmission of poor mental health from parent to child is not
surprising given the multiple plausible pathways through which transmission could occur. In …
surprising given the multiple plausible pathways through which transmission could occur. In …
Three systems interact in one-shot reinforcement learning
Human adaptive decision-making recruits multiple cognitive processes for learning stimulus-
action (SA) associations. These proceses include reinforcement learning (RL), which …
action (SA) associations. These proceses include reinforcement learning (RL), which …