The fate of memory: Reconsolidation and the case of Prediction Error
The ability to make predictions based on stored information is a general coding strategy. A
Prediction-Error (PE) is a mismatch between expected and current events. It was proposed …
Prediction-Error (PE) is a mismatch between expected and current events. It was proposed …
Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis
Reinforcement learning describes motivated behavior in terms of two abstract signals. The
representation of discrepancies between expected and actual rewards/punishments …
representation of discrepancies between expected and actual rewards/punishments …
How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis
AGE Collins, MJ Frank - European Journal of Neuroscience, 2012 - Wiley Online Library
Instrumental learning involves corticostriatal circuitry and the dopaminergic system. This
system is typically modeled in the reinforcement learning (RL) framework by incrementally …
system is typically modeled in the reinforcement learning (RL) framework by incrementally …
Integration and segregation of large-scale brain networks during short-term task automatization
The human brain is organized into large-scale functional networks that can flexibly
reconfigure their connectivity patterns, supporting both rapid adaptive control and long-term …
reconfigure their connectivity patterns, supporting both rapid adaptive control and long-term …
The centre of the brain: topographical model of motor, cognitive, affective, and somatosensory functions of the basal ganglia
The basal ganglia have traditionally been viewed as motor processing nuclei; however,
functional neuroimaging evidence has implicated these structures in more complex …
functional neuroimaging evidence has implicated these structures in more complex …
Teaching psychomotor skills in the twenty-first century: revisiting and reviewing instructional approaches through the lens of contemporary literature
A diverse range of health professionals use psychomotor skills as part of their professional
practice roles. Most health disciplines use large or complex psychomotor skills. These skills …
practice roles. Most health disciplines use large or complex psychomotor skills. These skills …
Differential roles of caudate nucleus and putamen during instrumental learning
The dorsal striatum is crucial for the acquisition and consolidation of instrumental behaviour,
but the underlying computations and internal dynamics remain elusive. To address this …
but the underlying computations and internal dynamics remain elusive. To address this …
Neural mechanisms for learning self and other ownership
Sense of ownership is a ubiquitous and fundamental aspect of human cognition. Here we
used model-based functional magnetic resonance imaging and a novel minimal ownership …
used model-based functional magnetic resonance imaging and a novel minimal ownership …
Rapid formation of pragmatic rule representations in the human brain during instruction-based learning
H Ruge, U Wolfensteller - Cerebral Cortex, 2010 - academic.oup.com
The present functional magnetic resonance imaging study investigated the instruction-based
learning of novel arbitrary stimulus–response mappings in order to understand the brain …
learning of novel arbitrary stimulus–response mappings in order to understand the brain …
[HTML][HTML] Vicarious reinforcement learning signals when instructing others
Reinforcement learning (RL) theory posits that learning is driven by discrepancies between
the predicted and actual outcomes of actions (prediction errors [PEs]). In social …
the predicted and actual outcomes of actions (prediction errors [PEs]). In social …