The computational roots of positivity and confirmation biases in reinforcement learning
S Palminteri, M Lebreton - Trends in Cognitive Sciences, 2022 - cell.com
Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …
value and evidence confirming one's own prior belief are overweighed. Until recently …
Developmental changes in exploration resemble stochastic optimization
Human development is often described as a 'cooling off'process, analogous to stochastic
optimization algorithms that implement a gradual reduction in randomness over time. Yet …
optimization algorithms that implement a gradual reduction in randomness over time. Yet …
Intrinsic rewards explain context-sensitive valuation in reinforcement learning
G Molinaro, AGE Collins - PLoS Biology, 2023 - journals.plos.org
When observing the outcome of a choice, people are sensitive to the choice's context, such
that the experienced value of an option depends on the alternatives: getting $1 when the …
that the experienced value of an option depends on the alternatives: getting $1 when the …
Disclosing the interactive mechanism behind scientists' topic selection behavior from the perspective of the productivity and the impact
The productivity and the impact are two most recognized aspects to evaluate the research
performance of scientists. Figuring out whether and how these two factors shape the …
performance of scientists. Figuring out whether and how these two factors shape the …
Human value learning and representation reflect rational adaptation to task demands
K Juechems, T Altun, R Hira, A Jarvstad - Nature Human Behaviour, 2022 - nature.com
Humans and other animals routinely make choices between goods of different values.
Choices are often made within identifiable contexts, such that an efficient learner may …
Choices are often made within identifiable contexts, such that an efficient learner may …
Sleep-related benefits to transitive inference are modulated by encoding strength and joint rank
T Foldes, L Santamaria, P Lewis - Learning & Memory, 2023 - learnmem.cshlp.org
Transitive inference is a measure of relational learning that has been shown to improve
across sleep. Here, we examine this phenomenon further by studying the impact of …
across sleep. Here, we examine this phenomenon further by studying the impact of …
Neural dynamics and geometry for transitive inference
The ability to make inferences using abstract rules and relations has long been understood
to be a hallmark of human intelligence, as evidenced in logic, mathematics, and language …
to be a hallmark of human intelligence, as evidenced in logic, mathematics, and language …
Reinforcement learning of altruistic punishment differs between cultures and across the lifespan
Z Guo, J Yu, W Wang, P Lockwood… - PLOS Computational …, 2024 - journals.plos.org
Altruistic punishment is key to establishing cooperation and maintaining social order, yet its
developmental trends across cultures remain unclear. Using computational reinforcement …
developmental trends across cultures remain unclear. Using computational reinforcement …
The construction and use of cognitive maps in model-based control.
When making decisions, we sometimes rely on habit and at other times plan toward goals.
Planning requires the construction and use of an internal representation of the environment …
Planning requires the construction and use of an internal representation of the environment …
[HTML][HTML] Dynamic emergence of relational structure network in human brains
Abstract Reasoning the hidden relational structure from sequences of events is a crucial
ability humans possess, which helps them to predict the future and make inferences …
ability humans possess, which helps them to predict the future and make inferences …