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Goal-directed learning in adolescence: neurocognitive development and contextual influences
Adolescence is a time during which we transition to independence, explore new activities
and begin pursuit of major life goals. Goal-directed learning, in which we learn to perform …
and begin pursuit of major life goals. Goal-directed learning, in which we learn to perform …
The influence of anxiety on exploration: A review of computational modeling studies
Background Psychotic experiences are thought to emerge from various interrelated patterns
of disrupted belief updating, such as overestimating the reliability of sensory information and …
of disrupted belief updating, such as overestimating the reliability of sensory information and …
Informing the treatment of social anxiety disorder with computational and neuroimaging data
Social anxiety disorder through the lens of computational psychiatry 12 Current treatments
for mental health disorders often demonstrate limited efficacy, 13 stemming in part from a …
for mental health disorders often demonstrate limited efficacy, 13 stemming in part from a …
Understanding learning through uncertainty and bias
Learning allows humans and other animals to make predictions about the environment that
facilitate adaptive behavior. Casting learning as predictive inference can shed light on …
facilitate adaptive behavior. Casting learning as predictive inference can shed light on …
Reliability of gamified reinforcement learning in densely sampled longitudinal assessments
MP Neuser, A Kühnel, F Kräutlein… - PLOS Digital …, 2023 - journals.plos.org
Reinforcement learning is a core facet of motivation and alterations have been associated
with various mental disorders. To build better models of individual learning, repeated …
with various mental disorders. To build better models of individual learning, repeated …