Neurocomputational mechanism of real-time distributed learning on social networks - Nature Neuroscience

Exploring the neural mechanisms behind how social networks shape our decisions NatureNeuro

Nature Neuroscience

thanks A. Bhandari, S. Sul and the other, anonymous, reviewer for their contribution to the peer review of this work.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Network structures and private signals. Blue/yellow represents the color of the private signal at a specific node. Circle/square represents the location of a behavioral/fMRI participant, which was assigned pseudo-randomly .

The empirical distribution of discriminability indices calculated from the pre-experiment simulation based on the DeGroot, Baseline, and Bayesian learning models . The radar plot illustrates the level of discriminability between any two candidate models. Each axis represents a model pair. For any point on an axis, the distance from the center of the plot corresponds to the discriminability of the given model pair .

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