2013年1月30日水曜日

Neural Correlates of Reinforcement Learning and Social Preferences in Competitive Bidding


Wouter van den Bos, Arjun Talwar, and Samuel M. McClure
The Journal of Neuroscience, 30 January 2013, 33(5): 2137-2146; doi: 10.1523/​JNEUROSCI.3095-12.2013

オークションでの応札行動は強化学習で説明可能。「(獲得/損失金額に関係ない)勝利自体の価値」の個人差はTPJの活動と、「敗北自体の価値」の個人差はInsulaと相関。それらの情報は最終的にvmPFC及び線条体で「獲得/損失金額の情報」と統合される。 http://www.jneurosci.org/content/33/5/2137

In competitive social environments, people often deviate from what rational choice theory prescribes, resulting in losses or suboptimal monetary gains. We investigate how competition affects learning and decision-making in a common value auction task. During the experiment, groups of five human participants were simultaneously scanned using MRI while playing the auction task. We first demonstrate that bidding is well characterized by reinforcement learning with biased reward representations dependent on social preferences. Indicative of reinforcement learning, we found that estimated trial-by-trial prediction errors correlated with activity in the striatum and ventromedial prefrontal cortex. Additionally, we found that individual differences in social preferences were related to activity in the temporal-parietal junction and anterior insula. Connectivity analyses suggest that monetary and social value signals are integrated in the ventromedial prefrontal cortex and striatum. Based on these results, we argue for a novel mechanistic account for the integration of reinforcement history and social preferences in competitive decision-making.

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