A computational substrate for incentive salience.

By Samuel M. McClure, Nathaniel D. Daw, P. R. Montague. Trends in Neurosciences, 2003

422 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4cb91ed7603e74f4b6d10e640f5db682405c278e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Kent C. Berridge
2. Peter S. Dayan
3. Nora D. Volkow
4. Yael Niv
5. Nathaniel D. Daw
6. Karl J. Friston
7. R. J. Dolan
8. John P. O'Doherty

In Cognitive Neuroscience

1. Karl J. Friston
2. Nathaniel D. Daw
3. Peter S. Dayan
4. Kent C. Berridge
5. Yael Niv
6. John P. O'Doherty
7. Matthew Botvinick
8. R. J. Dolan

In Molecular Biology

1. Kent C. Berridge
2. Peter S. Dayan
3. Yael Niv
4. Nora D. Volkow
5. Nathaniel D. Daw
6. S. Hyman
7. J. Cohen
8. R. Baler

Citations in the corpus

• Imaging dopamine's role in drug abuse and addiction. (2009, positive): “Because of DA’s role in motivation, the DA increases associated with drug-cues or the drug itself are also likely to modulate the motivation to procure the reward (McClure et al., 2003).”
• Tonic dopamine: opportunity costs and the control of response vigor (2007, positive): “In a recent model directed at somewhat similar data, McClure et al. (2003) made an explicit connection between response vigor and RL models of phasic, rather than tonic, dopamine function.”
• Neuromodulation as a robot controller (2009, background): “A recent proposal ties the prediction error to wanting by suggesting that incentive salience is the expected future reward that maps actions to rewards [14].”
• The debate over dopamine’s role in reward: the case for incentive salience (2007, methodology): “Originally, incentive salience probably evolved to mediate motivation for a few unconditioned rewards, but today, most often acts to add incentive value to learned Pavlovian conditioned stimuli that predict a wide variety of learned rewards (Berridge and Robinson 1998; Dayan and Balleine 2002; Ellio”
• Dopamine, Affordance and Active Inference (2012, background): “Dopamine has been implicated in a bewildering variety of processes and pathologies in the human brain; ranging from cortical excitability to attentional deficits [5], [6]; from motor control to akinesia and set switching deficits in Parkinson’s disease [7], [8], [9]; from working memory to schizophr”
• Computational roles for dopamine in behavioural control (2004, background): “McClure and colleagues recently extended this original learning hypothesis to address the Berridge and Robinson mode”
• as a Robot Controller Neuromodulation as a Robot Controller A Brain-Inspired Strategy for Controlling Autonomous Robots (2009, background): “A recent proposal ties the prediction error to wanting by suggesting that incentive salience is the expected future reward that maps actions to rewards [14].”
• Insights from the application of computational neuroimaging to social neuroscience. (2013, background): “Some of the key findings from this work include the determination that BOLD responses in the human striatum resemble a reward prediction error signal that can be used to incrementally update predictions of future reward [6,12,13], while activity in ventromedial prefrontal cortex (vmPFC) correlates w”
• Where Do Rewards Come From (2009, background): “A close parallel can be drawn between the gradient of a value function and incentive motivation [3].”