Neuronal coding of prediction errors.
By Wolfram Schultz, Anthony D. Dickinson. Annual Review of Neuroscience, 2000
1,489 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/21d4345f5105d45072a665a8cd7354e4dc21dad6
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
- Wolfram Schultz
- Yael Niv
- Peter S. Dayan
- Andrea Soltoggio
- Karl J. Friston
- Gianluca Baldassarre
- Trevor W. Robbins
In Cognitive Neuroscience
- Karl J. Friston
- Kent C. Berridge
- Nathaniel D. Daw
- Peter S. Dayan
- Yael Niv
- Matthew Botvinick
- Wolfram Schultz
- Michael J Frank
Citations in the corpus
- Is Heterosynaptic modulation essential for stabilizing hebbian plasiticity and memory (2000, background): “Dopamine and noradrenaline neurons, as well as acetylcholine neurons that project widely to other brain areas, have been found to fire in relation to the expectation of rewar”
- Consciousness without a cerebral cortex: A challenge for neuroscience and medicine (2007, result): “IP address: 184.23.239.50, on 05 Oct 2017 at 22:40:54, subject to the Cambridge Core terms of use, available at et al. 2004; Schultz & Dickinson 2000; Tobler et al. 2003, Waelti et al. 2001), which is in accordance with the “action-selection” role for the SC and SN proposed by Merker.”
- Error and expectation in language learning: The curious absence of mouses in adult speech (2013, background): “These successful tests of the model’s surprising—and falsifiable—predictions on different aspects of language learning are worth noting both because they serve as an important check on our intuitions, and because, as Roberts and Pashler (2000) point out, it is comparatively rare to find instances of”
- The role of prediction in social neuroscience (2012, background): “Reward prediction errors generated in dopaminergic neurons, are thought to encode the magnitude of the discrepancy between expected reward and experienced reward (Schultz and Dickinson, 2000) and therefore, drive decision-making.”
- Multiple reward signals in the brain (2000, background): “and they are depressed rather than activated by the omission of a reward, which presumably also generates attentio”
- Brain reward circuitry: insights from unsensed incentives. (2002, background): “…behav-is to say, the reinforcement process begins some significant time after the taste of the food; the taste of food ior (Schultz et al., 1997; Schultz and Dickinson, 2000; O’Doherty et al., 2002; Schultz, 2002 [this issue ofis, like the smell and sight of food and the sounds that precede the…”
- Segmentation in the perception and memory of events. (2008, background): “outcomes [54], and subcortical catecholamine nuclei, which might broadcast error signals throughout the brain [ 55 ,56].”
- Neural systems implicated in delayed and probabilistic reinforcement (2006, background): “…(DA) neurons that respond to errors in reward prediction in a manner appropriate for a teaching signal (Schultz, 1998; Schultz et al., 1997; Schultz & Dickinson, 2000; Schultz et al., 1998), as discussed above, and interventional studies have shown it to be a key site for the motivational…”
- Event-related potential studies of outcome processing and feedback-guided learning (2012, background): “This theory is based on research that implicates the basal ganglia and the midbrain dopamine (DA) system in reward prediction and reinforcement learning (Barto, 1995; Montague et al., 1996; Schultz et al., 1997; Schultz and Dickinson, 2000; Tobler et al., 2005; for a review see Schultz, 2002).”
- Concurrent Repetition Enhancement and Suppression Responses in Extrastriate Visual Cortex (2012, background): “…2011;Kovacs et al. 2012) and supports the view that visual processing, like its counterpart in the dopaminergic reward system (Schultz et al. 1997; Schultz and Dickinson 2000), depends on the interplay between of prediction and prediction error signals (Ullman 1995; Deco and Rolls 2005; Friston…”