Contextual inference in learning and memory

JB Heald, M Lengyel, DM Wolpert - Trends in cognitive sciences, 2023 - cell.com
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …

Naturalistic reinforcement learning

T Wise, K Emery, A Radulescu - Trends in Cognitive Sciences, 2024 - cell.com
Humans possess a remarkable ability to make decisions within real-world environments that
are expansive, complex, and multidimensional. Human cognitive computational …

Learning structures: predictive representations, replay, and generalization

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 …

Serotonin neurons modulate learning rate through uncertainty

CD Grossman, BA Bari, JY Cohen - Current Biology, 2022 - cell.com
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 …

Advances in modeling learning and decision-making in neuroscience

AGE Collins, A Shenhav - Neuropsychopharmacology, 2022 - nature.com
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 …

What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience

MK Eckstein, L Wilbrecht, AGE Collins - Current opinion in behavioral …, 2021 - Elsevier
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning,
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …

Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval

JS Tsay, HE Kim, SD McDougle, JA Taylor, A Haith… - Elife, 2024 - elifesciences.org
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 …

Anxiety as a disorder of uncertainty: Implications for understanding maladaptive anxiety, anxious avoidance, and exposure therapy

VM Brown, R Price, AY Dombrovski - Cognitive, Affective, & Behavioral …, 2023 - Springer
In cognitive-behavioral conceptualizations of anxiety, exaggerated threat expectancies
underlie maladaptive anxiety. This view has led to successful treatments, notably exposure …

Action chunking as policy compression

L Lai, AZ Huang, SJ Gershman - 2022 - psyarxiv.com
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 …

Choice type impacts human reinforcement learning

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 …