A Neural Substrate of Prediction and Reward
By Wolfram Schultz, Peter S. Dayan, P. R. Montague. 1997
Subfields: Neuroscience
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Neuroscience
- Matthew Botvinick
- Michael J Frank
- Peter S. Dayan
- Nathaniel D. Daw
- Samuel J. Gershman
- Karl J. Friston
- Randall C. O’Reilly
- John P. O'Doherty
Citations in the corpus
- Theory of Mind: A Neural Prediction Problem (2013, positive): “The central idea of “predictive coding” is that (some) neural responses contain information not about the value of a currently perceived stimulus, but about the difference between the stimulus value and the expected value (Fiorillo et al., 2003; Schultz et al., 1997; Schultz, 2010).”
- Coordinated and Compartmentalized Neuromodulation Shapes Sensory Processing in Drosophila (2015, positive): “Dopaminergic pathways have been investigated extensively as part of a reinforcement system that motivates and modifies many facets of animal behavior (Beninger, 1983; Bromberg-Martin et al., 2010; Redgrave and Gurney, 2006; Schultz et al., 1997; Waddell, 2013; Wise, 2004).”
- Multi-agent Reinforcement Learning in Sequential Social Dilemmas (2017, background): “Also, temporal difference predictions have been observed in the brain [41] and this class of reinforcement learning algorithm is seen as a candidate theory of animal habit-learning [42].”
- Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, positive): “under the assumption that reward prediction errors are represented by a dopamine signal”
- Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream (2014, background): “These alternative learning schemes might better account for the emergence of neural representations across cortex and may also be optimal for object categorization (Olshausen and Field, 1996; Schultz et al., 1997).”
- WRITING MEMORIES WITH LIGHT-ADDRESSABLE REINFORCEMENT CIRCUITRY (2009, background): “Dopamine’s role as a putative aversive reinforcer in fly olfactory learning mirrors, but with reversed polarity, its rewarding role in mammals (Wise and Rompre, 1989; Schultz et al., 1997).”
- Brain plasticity through the life span: learning to learn and action video games. (2012, background): “2009) and in the computation of error signals (Schultz et al. 1997).”
- as a Robot Controller Neuromodulation as a Robot Controller A Brain-Inspired Strategy for Controlling Autonomous Robots (2009, background): “The 5-HT system responds to risks and threats [6], the ACh system sets a level of attentional effort [7], the DA system drives reward anticipation [8], and the noradrenergic system responds to novel and salient objects [9].”
- Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? (2016, background): “to reinforcement learning, as it signals reward prediction errors, exhibiting a large phasic DA release when rewards are greater than expected, and firing rates below baseline when rewards are smaller than expected (Bayer and Glimcher, 2005; Glimcher, 2011; Schultz et al., 1997).”
- Functional anatomy of thalamus and basal ganglia (2002, background): “Basal ganglia and the adjacent structures play a part in predicting future events, reinforcing wanted behaviour and suppressing unwanted behaviour [172] and are in-”