An fMRI study of reward-related probability learning
By Mauricio R. Delgado, Melinda M. Miller, Souheil J. Inati, Elizabeth A. Phelps. NeuroImage, 2005
353 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c28718ac684224f9517e1e9cad84a760b70ea084
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
- Nathaniel D. Daw
- B. Casey
- Michael J Frank
- Daphna Shohamy
- Brian Knutson
- Peter S. Dayan
- Mauricio R. Delgado
- G. E. Wimmer
In Cognitive Neuroscience
- B. Casey
- Nathaniel D. Daw
- Michael J Frank
- Daphna Shohamy
- Peter S. Dayan
- Brian Knutson
- Adriana Galvan
- Ernst Fehr
Citations in the corpus
- Towards the neurobiology of emotional body language (2006, neutral): “The interactions between the two systems might also be modulated by contextual knowledge that can diminish reliance on feedback mechanisms in the neural circuitry of trial-and-error reward learning 83 .”
- Integrating Memories in the Human Brain: Hippocampal–Midbrain Encoding of Overlapping Events (2008, background): “…body of research indicates that reinforcement learning depends on midbrain dopamine neurons and their striatal (caudate and putamen) targets (Aron et al., 2004; Daw and Doya, 2006; Delgado et al., 2000, 2005; Faure et al., 2005; Frank et al., 2004; Schultz et al., 1997; Shohamy et al., 2004, 2006).”
- Oxytocin shapes the neural circuitry of trust and trust adaptation in humans. (2008, positive): “It has been recently shown that the perceptions of moral character alone suffice tomodulate the dorsal striatum during both the decision and the outcome phases of a trust game (Delgado et al., 2005a).”
- Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. (2006, result): “This prediction was recently supported by observations of learning-related activity occurring earlier in the striatum than in the frontal cortex (Delgado et al., 2005; Pasupathy & Miller, 2005).”
- Earlier Development of the Accumbens Relative to Orbitofrontal Cortex Might Underlie Risk-Taking Behavior in Adolescents (2006, background): “Few imaging studies of reward to date have been able to show differences in behavior as a function of reward outcome (Haruno et al., 2004; Delgado et al., 2005; Galvan et al., 2005).”
- Perceptions of moral character modulate the neural systems of reward during the trust game (2005, background): “Inferior temporal gyrus (19) 14 R 55 –65 –2 Orbitofrontal gyrus (11) 11 R 29 27 –11”
- Generalization of value in reinforcement learning by humans (2012, background): “…have been found most prominently in the ventral striatum (Knutson et al., 2001; Pagnoni et al., 2002; McClure et al., 2003; O’Doherty et al., 2003; Delgado et al., 2005; Daw et al., 2006; Lohrenz et al., 2007; Schönberg et al., 2007; Hare et al., 2008), a region densely innervated by midbrain…”
- The Role of the Dorsal Striatum in Reward and Decision-Making (2007, background): “In contrast, a number of studies suggest that the head of the caudate nucleus is involved in coding reward-prediction errors during goaldirected behavior (Davidson et al., 2004; O’Doherty et al., 2004; Delgado et al., 2005a; Haruno and Kawato, 2006).”
- The Reward Circuit: Linking Primate Anatomy and Human Imaging (2010, background): “Outcome-elicited medial caudate activation may promote choice of the next best action, as it is most prominent when reward feedback informs subsequent actions (O’Doherty et al , 2004) and decreases as action requirements become more predictable (Delgado et al , 2005).”
- Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making (2006, neutral): “However, learning-related activity is observed in striatum prior to premotor cortex (Delgado et al., 2005; Pasupathy & Miller, 2005) — since initial changes in Go/NoGo representations are required before premotor cortex can " stamp-in " the habitual response.”
- Functional magnetic resonance imaging of reward prediction (2005, background): “In another probabilistic choice task focusing on learning which cues afforded monetary gain, the caudate showed more activation in early stages of learning [ 21 ].”
- On the Use of Neuropyhsiological Tools in IS Research: Developing a Research Agenda for NeuroIS (2012, background): “…(e.g., Knutson et al. 2001; Mohr et al. 2010), uncertainty/ambiguity with the parietal and insular cortices (e.g., Krain et al. 2006), loss with the insular cortex (e.g., Paulus and Frank 2003), and rewards with the caudate nucleus and putamen (e.g., Delgado et al. 2005; McClure et al. 2004a).”