Temporal-difference learning (TD) models explain most responses of primate dopamine neurons in appetitive conditioning. But because existing models are based in the simple formal setting of Markov processes, they do not provide a realistic account of the partial observability of the state of the world, nor of variation in event timing. For instance, the TD model of Montague et al. (1996) mispredicts the dopamine response when an expected reward is delivered early. We explai
AbstractTemporal difference learning has been proposed as a model for Pavlovian conditioning, in whi...
Temporal difference learning has been proposed as a model for Pavlovian conditioning, in which an an...
A striking recent finding is that monkeys behave maladaptively in a class of tasks in which they kno...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
This article focuses on recent modeling studies of dopamine neuron activity and their influence on b...
Although the responses of dopamine neurons in the primate midbrain are well characterized as carryin...
Midbrain dopamine neurons signal reward prediction error (RPE), or actual minus expected reward. The...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
Does dopamine code for uncertainty (Fiorillo, Tobler & Schultz, 2003; 2005) or is the sustained ...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
Abstract. The activity of dopaminergic (DA) neurons has been hypoth-esized to encode a reward predic...
Substantial evidence suggests that the phasic activities of dopaminergic neurons in the primate midb...
Temporal difference learning models propose phasic dopamine signaling encodes reward prediction erro...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
Animals use the neurotransmitter dopamine to encode the relationship between their responses and rew...
AbstractTemporal difference learning has been proposed as a model for Pavlovian conditioning, in whi...
Temporal difference learning has been proposed as a model for Pavlovian conditioning, in which an an...
A striking recent finding is that monkeys behave maladaptively in a class of tasks in which they kno...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
This article focuses on recent modeling studies of dopamine neuron activity and their influence on b...
Although the responses of dopamine neurons in the primate midbrain are well characterized as carryin...
Midbrain dopamine neurons signal reward prediction error (RPE), or actual minus expected reward. The...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
Does dopamine code for uncertainty (Fiorillo, Tobler & Schultz, 2003; 2005) or is the sustained ...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
Abstract. The activity of dopaminergic (DA) neurons has been hypoth-esized to encode a reward predic...
Substantial evidence suggests that the phasic activities of dopaminergic neurons in the primate midb...
Temporal difference learning models propose phasic dopamine signaling encodes reward prediction erro...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
Animals use the neurotransmitter dopamine to encode the relationship between their responses and rew...
AbstractTemporal difference learning has been proposed as a model for Pavlovian conditioning, in whi...
Temporal difference learning has been proposed as a model for Pavlovian conditioning, in which an an...
A striking recent finding is that monkeys behave maladaptively in a class of tasks in which they kno...