Explicit information obtained through instruction profoundly shapes human choice behaviour. However, this has been studied in computationally simple tasks, and it is unknown how model-based and model-free systems, respectively generating goal-directed and habitual actions, are affected by the absence or presence of instructions. We assessed behaviour in a variant of a computationally more complex decision-making task, before and after providing information about task structure, both in healthy volunteers and in individuals suffering from obsessive-compulsive or other disorders. Initial behaviour was model-free, with rewards directly reinforcing preceding actions. Model-based control, employing predictions of states resulting from each actio...
© 2017 Society of Biological Psychiatry. Background: When studying learning, researchers directly ob...
It has previously been shown that the relative reliability of model-based and model-free reinforceme...
<div><p>Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic re...
Explicit information obtained through instruction profoundly shapes human choice behaviour. However,...
Distinct model-free and model-based learning processes are thought to drive both typical and dysfunc...
Distinct model-free and model-based learning processes are thought to drive both typical and dysfunc...
Studies in humans and rodents have suggested that behavior can at times be "goal-directed"-that is, ...
Abstract Studies in humans and rodents have suggested that behavior can at times be Bgoal-directed^—...
Human decisions can be habitual or goal-directed, also known as model-free (MF) or model-based (MB) ...
Why do we repeat choices that we know are bad for us? Decision making is characterized by the parall...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Reinforcement learning deficits have long been associated with schizophrenia. However, tasks traditi...
The recently developed ‘two-step’ behavioural task promises to differentiate model-based from model-...
© 2017 Society of Biological Psychiatry. Background: When studying learning, researchers directly ob...
It has previously been shown that the relative reliability of model-based and model-free reinforceme...
<div><p>Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic re...
Explicit information obtained through instruction profoundly shapes human choice behaviour. However,...
Distinct model-free and model-based learning processes are thought to drive both typical and dysfunc...
Distinct model-free and model-based learning processes are thought to drive both typical and dysfunc...
Studies in humans and rodents have suggested that behavior can at times be "goal-directed"-that is, ...
Abstract Studies in humans and rodents have suggested that behavior can at times be Bgoal-directed^—...
Human decisions can be habitual or goal-directed, also known as model-free (MF) or model-based (MB) ...
Why do we repeat choices that we know are bad for us? Decision making is characterized by the parall...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Accounts of decision-making and its neural substrates have long posited the operation of separate, c...
Reinforcement learning deficits have long been associated with schizophrenia. However, tasks traditi...
The recently developed ‘two-step’ behavioural task promises to differentiate model-based from model-...
© 2017 Society of Biological Psychiatry. Background: When studying learning, researchers directly ob...
It has previously been shown that the relative reliability of model-based and model-free reinforceme...
<div><p>Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic re...