This tutorial teaches how to model event-related potentials recorded with M/EEG using convolution-based biophysical modelling.

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This is public data from healthy controls, at-risk individuals, and first-episode psychosis patients performing a social learning task in which participants learned about others' changing intentions.

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This is a tutorial to learn how to simulate abnormal belief updates using the Hierarchical Gaussian Filter - a Bayesian model of learning - in Matlab.

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This is analysis code from our recent work in which we investigated the computational mechanisms underlying paranoid delusions in early psychosis.

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