Behavioral theories and the neurophysiology of reward.
By Wolfram Schultz. Annual Review of Psychology, 2006
1,560 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/da3964ab1c5d64efe72e608cec6c2ab31ed25234
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
- Kent C. Berridge
- Peter S. Dayan
- Andrea Soltoggio
- E. Nestler
- Karl J. Friston
- Xiao-Jing Wang
- B. Casey
- S. Hyman
In Cognitive Neuroscience
- Kent C. Berridge
- Karl J. Friston
- Nathaniel D. Daw
- Peter S. Dayan
- Morten L. Kringelbach
- Xiao-Jing Wang
- E. T. Rolls
- Andrea Soltoggio
Citations in the corpus
- Reconsidering Anhedonia in Depression: Lessons from Translational Neuroscience (2010, background): “Finally, DA burst-firing—which commonly occurs in response to unexpected rewards—ceases after the previously unexpected reward becomes predicted, despite the fact that the hedonic value of the predicted reward is presumably intact (Berridge, 2007; Schultz, 2006; Schultz et al., 1997).”
- RETHINKING THE EMOTIONAL BRAIN (2012, neutral): “that recent work on the role of dopamine as a reward prediction error signal is beginning to recognize the importance of specific motivational states in modulating the effects of dopamine as a reward prediction error signal (Schultz, 2006; Glimcher, 2011).”
- ‘Liking’ and ‘wanting’ food rewards: Brain substrates and roles in eating disorders (2009, background): “hypothesis is that dopamine causes reward learning [33,117,118].”
- What is reinforced by phasic dopamine signals? (2008, methodology): “…vision) are associated either with the opportunity to explore novel environments or objects (Bardo et al., 1993; Bevins et al., 2002; Sheldon, 1969), or view images or movies, the most effective being of conspecifics with significant social content (Blatter and Schultz, 2006; Deaner et al., 2005).”
- A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues. (2010, background): “The NAcc contributes to decision-making behavior by signaling the anticipation and attainment of rewards, and serves to influence motivated behavior via connections with the prefrontal cortex (Cardinal, Parkinson, Hall, & Everitt, 2002; Delgado, 2007; Schultz, 2006).”
- Dissociation of neural networks for anticipation and consumption of monetary and social rewards (2010, neutral): “…(NAcc)), amygdala, orbital frontal and mesial prefrontal cortex, function as the reward system of the brain, attributing a special role to dopamine as the innervating neurotransmitter (see (Arias-Carrion and Poppel, 2007; McClure et al., 2004; O'Doherty, 2004; Schultz, 2006) for reviews).”
- From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation (2012, background): “, 2005; Hasselmo, 2006)) is still debated, in particular regarding the role of dopamine in reward learning (Pennartz, 1996, 1997; Berridge and Robinson, 1998; Montague et al., 2004; Schultz, 2006; Redgrave et al., 2008).”
- Evaluating the TD model of classical conditioning (2012, methodology): “This CSC representation is used in most of the TDmodels of dopamine function (e.g., Montague, Dayan, & Sejnowski, 1996; Schultz, 2006; Schultz et al., 1997) and is often taken as synonymous with the TD model (e.”
- A new look at habits and the habit-goal interface. (2007, background): “Dopamine responses reflect a sort of prediction error sensitive to differences between expected and obtained rewards and to future expectations of reward (Montague, Hyman, & Cohen, 2004; Schultz, 2006).”
- Error and expectation in language learning: The curious absence of mouses in adult speech (2013, background): “…that make assumptions similar to those just described have been successfully applied to the study of decision making, executive function, habitual learning, and response selection in humans (McClure 2003, Montague et al. 2004, Montague et al. 1996, Niv 2009, Schultz 1998, 2006, Waelti et al. 2001).”
- Emotion and cognition: insights from studies of the human amygdala. (2006, background): “Recent Annual Review chapters that may provide additional information concerning topics discussed in this review include Fanselow & Poulos (2005), McGaugh (2004), Rolls (2000), Schultz (2006), Shors (2006), and Stuss & Levine (2002).”
- Neural basis of reinforcement learning and decision making. (2012, background): “Signals related to reward prediction error arrive at these synapses via the terminals of dopamine neurons in the substantia nigra (Levey et al. 1993, Schultz 2006, Haber et al. 2000, Haber & Knutson 2010), and multiple types of dopamine receptors in the striatum can modulate the plasticity of…”
- A Neural Computational Model of Incentive Salience (2009, background): “One influential neurobiological view identifies the predictive error signal, which lies at the core of temporal difference learning, with the firing of dopaminergic neurons projecting to the nucleus accumbens and neostriatum [30,31] (though this notion is not without controversy regarding the causal”
- From prediction error to incentive salience: mesolimbic computation of reward motivation (2012, methodology): “…cached learned value, Zhang et al. adopted the temporal difference model of reinforcement learning (Sutton & Barto, 1981; Schultz & Dickinson, 2000; Dayan & Balleine, 2002; McClure et al., 2003b; O’Doherty et al., 2003; Schultz, 2006; Niv & Schoenbaum, 2008; Redish et al., 2008b; Glimcher, 2011).”
- Neuron-type specific signals for reward and punishment in the ventral tegmental area (2012, background): “Dopaminergic neurons in the ventral tegmental area (VTA) signal the discrepancy between expected and actual rewards (that is, reward prediction error”
- Interest Development and Its Relation to Curiosity: Needed Neuroscientific Research (2019, background): “The activation of the reward circuitry (by rewards or their expectations) influences behavior, enhances attention, reduces reaction time, and increases both memory and performance (e.g., Ernst and Spear 2009; Hidi 2016; Schultz 2006).”
- Frontiers in Synaptic Neuroscience Synaptic Neuroscience (neutral): “…reward mediated learning the “distal-reward problem” has been recognized years ago: How can the reward relate to specific events that happened earlier in time than the reward (Hull, 1943; Blum and Abbott, 1996; Schultz, 1998, 2006; Sutton and Barto, 1998; Izhikevich, 2007; Vasilaki et al., 2009)?”