Neural Basis of Learning and Preference during Social Decision Making
By Hyojung Seo, Daeyeol Lee. 2012
44 citations recorded by the source corpus.
Social decision making is arguably the most complex cognitive function performed by the human brain. This is due to two unique features of social decision making. First, predicting the behaviors of others is extremely difficult. Second, humans often take into consideration the well-beings of others during decision making, but this is influenced by many contextual factors. Despite such complexity, studies on the neural basis of social decision making have made substantial progress in the last several years. They demonstrated that the core brain areas involved in reinforcement learning and valuation, such as the ventral striatum and orbitofrontal cortex, make important contribution to social decision making. Furthermore, the contribution of brain systems implicated for theory of mind during decision making is being elucidated. Future studies are expected to provide additional details about the nature of information channeled through these brain areas.
Subfields: Cognitive Neuroscience, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Simon Dunne
- John P. O'Doherty
- Peter S. Dayan
- Nathaniel D. Daw
- R. J. Dolan
- Antonio Rangel
- Brian Knutson
- Hugo D. Critchley
In Social Psychology
Citations in the corpus
- Theory of Mind: A Neural Prediction Problem (2013, neutral): “…an inverse problem (Baker et al., 2011; Baker et al., 2009); the challenge is to use the observable evidence (in this case human behaviors and states) to infer the invisible causal structure that gave rise to the evidence (the goals, thoughts, and personality of the individual; Seo and Lee, 2012).”
- Insights from the application of computational neuroimaging to social neuroscience. (2013, background): “There is some evidence that, when engaged in competitive economic games against computer opponents, nonhuman primates may be capable of incorporating fictitious play into their action selection, as well as more simple strategies such as WinStay Lose-Switch and simple reinforcement learning [33– 35],”