Humans possess a remarkable ability to make decisions within real-world environments that are expansive, complex, and multidimensional. Human cognitive computational …
I Momennejad - Current Opinion in Behavioral Sciences, 2020 - Elsevier
Memory and planning rely on learning the structure of relationships among experiences. Compact representations of these structures guide flexible behavior in humans and animals …
Regulating how fast to learn is critical for flexible behavior. Learning about the consequences of actions should be slow in stable environments, but accelerate when that …
An organism's survival depends on its ability to learn about its environment and to make adaptive decisions in the service of achieving the best possible outcomes in that …
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning, psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
Motor learning is often viewed as a unitary process that operates outside of conscious awareness. This perspective has led to the development of sophisticated models designed …
In cognitive-behavioral conceptualizations of anxiety, exaggerated threat expectancies underlie maladaptive anxiety. This view has led to successful treatments, notably exposure …
Many skills in our everyday lives are learned by sequencing actions towards a desired goal. The action sequence can become a chunk when individual actions are grouped together …
M Rmus, A Zou, AGE Collins - Journal of Cognitive Neuroscience, 2023 - direct.mit.edu
In reinforcement learning (RL) experiments, participants learn to make rewarding choices in response to different stimuli; RL models use outcomes to estimate stimulus–response values …