Slow-timescale (tonic) changes in dopamine (DA) contribute to a wide variety of processes in reinforcement learning, interval timing, and other domains. Furthermore, changes in tonic DA exert distinct effects depending on when they occur (e.g., during learning vs. performance) and what task the subject is performing (e.g., operant vs. classical conditioning). Two influential theories of tonic DA-the average reward theory and the Bayesian theory in which DA controls precision-have each been successful at explaining a subset of empirical findings. But how the same DA signal performs two seemingly distinct functions without creating crosstalk is not well understood. Here we reconcile the two theories under the unifying framework of 'rational i...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
Spontaneous eye blink rate (sEBR) has been linked to striatal dopamine function and to how individua...
Speed-accuracy trade-off is an intensively studied law governing almost all behavioral tasks across ...
RATIONALE: Dopamine neurotransmission has long been known to exert a powerful influence over the vig...
Converging evidence implicates striatal dopamine (DA) in reinforcement learning, such that DA increa...
Animals use the neurotransmitter dopamine to encode the relationship between their responses and rew...
Recent computational models of sign tracking (ST) and goal tracking (GT) have accounted for observat...
The impact of dopamine on adaptive behavior in a naturalistic environment is largely unexamined. Exp...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
Two fundamental questions underlie the expression of behavior, namely what to do and how vigorously ...
Substantial evidence suggests that the phasic activity of dopamine neurons represents rein-forcement...
Substantial evidence suggests that the phasic activity of dopamine neurons represents reinforcement ...
Temporal difference learning models propose phasic dopamine signaling encodes reward prediction erro...
A spate of recent work demonstrates that humans seek to avoid the expenditure of cognitive effort, m...
The dopamine clock hypothesis suggests that the dopamine level determines the speed of the hypotheti...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
Spontaneous eye blink rate (sEBR) has been linked to striatal dopamine function and to how individua...
Speed-accuracy trade-off is an intensively studied law governing almost all behavioral tasks across ...
RATIONALE: Dopamine neurotransmission has long been known to exert a powerful influence over the vig...
Converging evidence implicates striatal dopamine (DA) in reinforcement learning, such that DA increa...
Animals use the neurotransmitter dopamine to encode the relationship between their responses and rew...
Recent computational models of sign tracking (ST) and goal tracking (GT) have accounted for observat...
The impact of dopamine on adaptive behavior in a naturalistic environment is largely unexamined. Exp...
A cornerstone of current theorizing about dopamine’s computational role is the idea that the phasic ...
Two fundamental questions underlie the expression of behavior, namely what to do and how vigorously ...
Substantial evidence suggests that the phasic activity of dopamine neurons represents rein-forcement...
Substantial evidence suggests that the phasic activity of dopamine neurons represents reinforcement ...
Temporal difference learning models propose phasic dopamine signaling encodes reward prediction erro...
A spate of recent work demonstrates that humans seek to avoid the expenditure of cognitive effort, m...
The dopamine clock hypothesis suggests that the dopamine level determines the speed of the hypotheti...
According to a series of influential models, dopamine (DA) neurons sig-nal reward prediction error u...
Spontaneous eye blink rate (sEBR) has been linked to striatal dopamine function and to how individua...
Speed-accuracy trade-off is an intensively studied law governing almost all behavioral tasks across ...