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Learning to Like: Neural Representations of Social Value.

Learning to Like: Neural Representations of Social Value.

Paperback

Biology

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ISBN10: 1243621737
ISBN13: 9781243621733
Publisher: Proquest Umi Dissertation Pub
Pages: 188
Weight: 0.76
Height: 0.40 Width: 7.44 Depth: 9.69
Language: English
Liking and disliking other people shape much of our social behavior, but little is known about learning to like. In particular, existing studies have not examined how observed actions interact with beliefs to produce liking and disliking in real time. This thesis investigated learning to like from observing others' actions using a novel paradigm, the Social Prediction task. Participants rated liking for other players after watching them in a repeated public goods game in which they played generously or selfishly by contributing more or less to the group. High contributors were liked and low contributors were disliked (Study 1), regardless of personal monetary rewards (Study 2), but liking and disliking were eliminated when the same game was described in terms of saving and risk instead of donations and charity (Study 3). Individual differences in beliefs about contributions also modulated liking and disliking (Studies 1-3). Learning beliefs about contributions from trial to trial was consistent with a simple reinforcement learning model of stimulus value (Study 4). Finally, Study 5 used functional magnetic resonance imaging to examine the neural bases of learning to like. The ventromedial prefrontal cortex was selectively activated for predicting likable outcomes, while a wider network of prefrontal and subcortical regions encoded prediction errors and certainty about the players' actions. The results were consistent with a belief-based reinforcement perspective in which beliefs produce liking that is encoded in brain structures related to many kinds of stimulus value. The same neural systems that learn about personal rewards are thus involved in learning to like.

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