Despite extensive studies on how social networks affect behavior at the population level, little is known about how the human brain makes decisions in networked environments. This study shows that the brain flexibly weighs information received from a social contact according to how well-connected that contact is on the network responsible for information transmission.
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This is a summary of: Jiang, Y., Mi, Q. & Zhu, L. Neurocomputational mechanism of real-time distributed learning on social networks. Nat. Neurosci. https://doi.org/10.1038/s41593-023-01258-y (2023).
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The human brain biases integration of information passed through social networks. Nat Neurosci 26, 375–376 (2023). https://doi.org/10.1038/s41593-023-01269-9
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DOI: https://doi.org/10.1038/s41593-023-01269-9
