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RML overview with neuroanatomical mapping.

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posted on 2018-08-24, 17:26 authored by Massimo Silvetti, Eliana Vassena, Elger Abrahamse, Tom Verguts

The RML consists of a state-action selection dual system (dACCAct and dACCBoost), based on RL algorithms, and a parameter modulation system via catecholamine release (VTA and LC) that are in constant interaction. Finally, the RML can be connected to an external neural model (e.g. a fronto-parietal network) and part of the LC output (NE) can be used to modulate its activity while the entire system (RML + external model) is interacting with the environment.

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