The computational roots of positivity and confirmation biases in reinforcement learning
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 …
Sensitivity and specificity in affective and social learning in adolescence
Adolescence is a period of heightened affective and social sensitivity. In this review we
address how this increased sensitivity influences associative learning. Based on recent …
address how this increased sensitivity influences associative learning. Based on recent …
Intrinsic rewards explain context-sensitive valuation in reinforcement learning
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 …
Impaired adaptation of learning to contingency volatility in internalizing psychopathology
Using a contingency volatility manipulation, we tested the hypothesis that difficulty adapting
probabilistic decision-making to second-order uncertainty might reflect a core deficit that cuts …
probabilistic decision-making to second-order uncertainty might reflect a core deficit that cuts …
The computational development of reinforcement learning during adolescence
Adolescence is a period of life characterised by changes in learning and decision-making.
Learning and decision-making do not rely on a unitary system, but instead require the …
Learning and decision-making do not rely on a unitary system, but instead require the …
The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty
The experimental investigation of decision-making in humans relies on two distinct types of
paradigms, involving either description-or experience-based choices. In description-based …
paradigms, involving either description-or experience-based choices. In description-based …
Differential effects of reward and punishment on reinforcement-based motor learning and generalization
C Yin, B Li, T Gao - Journal of neurophysiology, 2023 - journals.physiology.org
Reward and punishment have long been recognized as potent modulators of human
behavior. Although reinforcement learning is a significant motor learning process, the exact …
behavior. Although reinforcement learning is a significant motor learning process, the exact …
Task errors contribute to implicit aftereffects in sensorimotor adaptation
Perturbations of sensory feedback evoke sensory prediction errors (discrepancies between
predicted and actual sensory outcomes of movements), and reward prediction errors …
predicted and actual sensory outcomes of movements), and reward prediction errors …
Biased belief updating and suboptimal choice in foraging decisions
Deciding which options to engage, and which to forego, requires develo** accurate
beliefs about the overall distribution of prospects. Here we adapt a classic prey selection …
beliefs about the overall distribution of prospects. Here we adapt a classic prey selection …
Contextual influence on confidence judgments in human reinforcement learning
The ability to correctly estimate the probability of one's choices being correct is fundamental
to optimally re-evaluate previous choices or to arbitrate between different decision …
to optimally re-evaluate previous choices or to arbitrate between different decision …