The hippocampal formation and striatum subserve declarative and procedural memory, respectively. However, experimental evidence suggests that the ventral striatum, as opposed to the dorsal striatum, does not lend itself to being part of either system. Instead, it may constitute a system integrating inputs from the amygdala, prefrontal cortex and hippocampus to generate motivational, outcome-predicting signals that invigorate goal-directed behaviors. Inspired by reinforcement learning models, we suggest an alternative scheme for computational functions of the striatum. Dorsal and ventral striatum are proposed to compute outcome predictions largely in parallel, using different types of information as input. The nature of the inputs to striatu...
International audienceHumans adaptively perform actions to achieve their goals. This flexible behavi...
The basal ganglia are often conceptualised as three parallel domains that include all the constituen...
A computational approach to functional specialization suggests that brain systems can be characteriz...
Goal-directed and instrumental learning are both important controllers of human behavior. Learning a...
SummaryDecision-making studies across different domains suggest that decisions can arise from multip...
Multiple regions of the hippocampal formation project to the ventral striatum, a central node in bra...
The brain’s most difficult computation in decision-making learning is searching for essential inform...
While the neurobiology of simple and habitual choices is relatively well known, our current understa...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
Forming place-reward associations critically depends on the integrity of the hippocampal-ventral str...
The learning of stimulus-outcome associations allows for predictions about the environment. Ventral ...
Flexible decision-making strategies (such as planning) are a key component of adaptive behavior, yet...
This article aims to provide a synthesis on the question how brain structures cooperate to accomplis...
It has long been recognized that the striatum is composed of distinct functional sub-units that are ...
SummaryThe ventromedial striatum (VMS) is a node in circuits underpinning both affect and reinforcem...
International audienceHumans adaptively perform actions to achieve their goals. This flexible behavi...
The basal ganglia are often conceptualised as three parallel domains that include all the constituen...
A computational approach to functional specialization suggests that brain systems can be characteriz...
Goal-directed and instrumental learning are both important controllers of human behavior. Learning a...
SummaryDecision-making studies across different domains suggest that decisions can arise from multip...
Multiple regions of the hippocampal formation project to the ventral striatum, a central node in bra...
The brain’s most difficult computation in decision-making learning is searching for essential inform...
While the neurobiology of simple and habitual choices is relatively well known, our current understa...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
Forming place-reward associations critically depends on the integrity of the hippocampal-ventral str...
The learning of stimulus-outcome associations allows for predictions about the environment. Ventral ...
Flexible decision-making strategies (such as planning) are a key component of adaptive behavior, yet...
This article aims to provide a synthesis on the question how brain structures cooperate to accomplis...
It has long been recognized that the striatum is composed of distinct functional sub-units that are ...
SummaryThe ventromedial striatum (VMS) is a node in circuits underpinning both affect and reinforcem...
International audienceHumans adaptively perform actions to achieve their goals. This flexible behavi...
The basal ganglia are often conceptualised as three parallel domains that include all the constituen...
A computational approach to functional specialization suggests that brain systems can be characteriz...