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 …

[HTML][HTML] Context-dependent outcome encoding in human reinforcement learning

S Palminteri, M Lebreton - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Highlights•In human reinforcement learning, outcomes are encoded in a context-dependent
manner.•Context-dependence transforms objective outcomes into subjective …

Computational mechanisms underlying latent value updating of unchosen actions

I Ben-Artzi, Y Kessler, B Nicenboim, N Shahar - Science advances, 2023 - science.org
Current studies suggest that individuals estimate the value of their choices based on
observed feedback. Here, we ask whether individuals also update the value of their …

Linking confidence biases to reinforcement-learning processes.

N Salem-Garcia, S Palminteri, M Lebreton - Psychological Review, 2023 - psycnet.apa.org
We systematically misjudge our own performance in simple economic tasks. First, we
generally overestimate our ability to make correct choices—a bias called overconfidence …

The social transmission of empathy relies on observational reinforcement learning

Y Zhou, S Han, P Kang, PN Tobler… - Proceedings of the …, 2024 - National Acad Sciences
Theories of moral development propose that empathy is transmitted across individuals.
However, the mechanisms through which empathy is socially transmitted remain unclear …

Neural and computational underpinnings of biased confidence in human reinforcement learning

CC Ting, N Salem-Garcia, S Palminteri… - Nature …, 2023 - nature.com
While navigating a fundamentally uncertain world, humans and animals constantly evaluate
the probability of their decisions, actions or statements being correct. When explicitly elicited …

[HTML][HTML] How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks

AW Kramer, JV Schaaf, HM Huizenga - Learning and Individual Differences, 2023 - Elsevier
High-school students decide in which tasks to invest their cognitive effort on a daily basis. At
school, such decisions often relate to feedback-learning situations (eg, whether or not to do …

Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental …

The field of computational psychiatry advocates for the use of behavioral task-derived
computational measures to improve our understanding, diagnosis and treatment of …

Threat‐induced anxiety and selfishness in resource sharing: Behavioral and neural evidence

F Cui, X Huang, J Liu, YJ Luo, R Gu - Human Brain Mapping, 2023 - Wiley Online Library
In real life, it is not unusual that we face potential threats (ie, physical stimuli and
environments that may cause harm or danger) with other individuals together, yet it remains …

The impact of incidental anxiety on the neural signature of mentalizing

LA Chang, JB Engelmann - Imaging Neuroscience, 2024 - direct.mit.edu
While the effects of anxiety on various cognitive processes, including memory, attention, and
learning, have been relatively well documented, the neurobiological effects of anxiety on …