Add to ORKGSubstantial data support a temporal difference (TD) model of dopamine (DA) neuron activity in which the cells provide a global error signal for reinforcement learning. However, in certain circumstances, DA activity seems anomalous under the TD model, responding to non-rewarding stimuli. We address these anomalies by suggesting that DA cells multiplex information about reward bonuses, including Sutton\u27s exploration bonuses and Ng et al\u27s non-distorting shaping bonuses. We interpret this additional role for DA in terms of the unconditional attentional and psychomotor effects of dopamine, having the computational role of guiding exploration
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
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 data support a temporal difference (TD) model of dopamine (DA) neuron activity in which ...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
This article focuses on recent modeling studies of dopamine neuron activity and their influence on b...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
The dopamine projection from ventral tegmental area (VTA) to nucleus accumbens (NAc) is critical for...
Recent work has advanced our knowledge of phasic dopamine reward prediction error signals. The error...
Substantial evidence suggests that the phasic activities of dopaminergic neurons in the primate midb...
Converging evidence implicates striatal dopamine (DA) in reinforcement learning, such that DA increa...
Does dopamine code for uncertainty (Fiorillo, Tobler & Schultz, 2003; 2005) or is the sustained ...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
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 data support a temporal difference (TD) model of dopamine (DA) neuron activity in which ...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
This article focuses on recent modeling studies of dopamine neuron activity and their influence on b...
In the temporal difference model of primate dopamine neurons, their phasic activity reports a predic...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
An open problem in the field of computational neuroscience is how to link synaptic plasticity to sys...
The dopamine projection from ventral tegmental area (VTA) to nucleus accumbens (NAc) is critical for...
Recent work has advanced our knowledge of phasic dopamine reward prediction error signals. The error...
Substantial evidence suggests that the phasic activities of dopaminergic neurons in the primate midb...
Converging evidence implicates striatal dopamine (DA) in reinforcement learning, such that DA increa...
Does dopamine code for uncertainty (Fiorillo, Tobler & Schultz, 2003; 2005) or is the sustained ...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
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...