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bioRxiv · 10.1101/544551

Electrophysiological correlates of state transition prediction errors

Shahnazian, D.·Ribas-Fernandes, J. J. F.·Holroyd, C. B.
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Abstract

Planning behavior depends crucially on the ability to distinguish between the likely and unlikely consequences of an action. Formal computational models of planning postulate the existence of a neural mechanism that tracks the transition model of the environment, i.e., a model that explicitly represents the probabilities of action consequences. However, empirical findings relating to such a mechanism are scarce. Here we report the results of two electroencephalographic experiments examining the neural correlates of transition model learning. The results implicate fronto-midline theta and delta oscillations in this process and suggest a role of the anterior midcingulate cortex in planning behavior.

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Shahnazian, D., Ribas-Fernandes, J. J. F., Holroyd, C. B.. 2019-02-08. Electrophysiological correlates of state transition prediction errors. https://doi.org/10.1101/544551

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