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Updated: Dec 25, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
The neural and computational systems of social learning
Andreas Olsson1, Ewelina Knapska2, Björn Lindström3,4
1Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Solna, Sweden. andreas.olsson@ki.se.
Abstract:
Learning the value of stimuli and actions from others - social learning - adaptively contributes to individual survival and plays a key role in cultural evolution. We review research across species targeting the neural and computational systems of social learning in both the aversive and appetitive domains. Social learning generally follows the same principles as self-experienced value-based learning, including computations of prediction errors and is implemented in brain circuits activated across task domains together with regions processing social information. We integrate neural and computational perspectives of social learning with an understanding of behaviour of varying complexity, from basic threat avoidance to complex social learning strategies and cultural phenomena.
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