A major open question is whether computational strategies thought to be used during experiential learning, specifically model-based and model-free reinforcement learning, also support observational learning. Furthermore, the question of how observational learning occurs when observers must learn about the value of options from observing outcomes in the absence of choice has not been addressed. In the present study we used a multi-armed bandit task that encouraged human participants to employ both experiential and observational learning while they underwent functional magnetic resonance imaging (fMRI). We found evidence for the presence of model-based learning signals during both observational and experiential learning in the intraparietal s...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
A major open question is whether computational strategies thought to be used during experiential lea...
Learning theorists posit two reinforcement learning systems: model-free and model-based. Model-based...
Model-free learning creates stimulus-response associations, but are there limits to the types of sti...
SummaryReinforcement learning (RL) uses sequential experience with situations (“states”) and outcome...
Reinforcement learning (RL) provides a framework involving two diverse approaches to reward-based de...
SummaryWhen an organism receives a reward, it is crucial to know which of many candidate actions cau...
Learning how to reach a reward over long series of actions is a remarkable capability of humans, and...
Individuals learn both from the outcomes of their own internally generated actions ("experiential le...
SummaryThe mesostriatal dopamine system is prominently implicated in model-free reinforcement learni...
Learning how to reach a reward over long series of actions is a remarkable capability of humans, and...
Humans and some animal species are able to learn stimulus-response (S-R) associations by observing o...
SummaryWhen an organism receives a reward, it is crucial to know which of many candidate actions cau...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
A major open question is whether computational strategies thought to be used during experiential lea...
Learning theorists posit two reinforcement learning systems: model-free and model-based. Model-based...
Model-free learning creates stimulus-response associations, but are there limits to the types of sti...
SummaryReinforcement learning (RL) uses sequential experience with situations (“states”) and outcome...
Reinforcement learning (RL) provides a framework involving two diverse approaches to reward-based de...
SummaryWhen an organism receives a reward, it is crucial to know which of many candidate actions cau...
Learning how to reach a reward over long series of actions is a remarkable capability of humans, and...
Individuals learn both from the outcomes of their own internally generated actions ("experiential le...
SummaryThe mesostriatal dopamine system is prominently implicated in model-free reinforcement learni...
Learning how to reach a reward over long series of actions is a remarkable capability of humans, and...
Humans and some animal species are able to learn stimulus-response (S-R) associations by observing o...
SummaryWhen an organism receives a reward, it is crucial to know which of many candidate actions cau...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...
When an organism receives a reward, it is crucial to know which of many candidate actions caused thi...