Topic: two-stage task

The striatum and prefrontal cortex (PFC) play critical roles in reinforcement learning (RL). The striatum implements a model-free RL algorithm by driving synaptic plasticity modulated by dopaminergic prediction errors. The PFC, in turn, is thought to implement a model-based algorithm through its neuronal dynamics. The role and interplay of both regions can be successfully modeled in the meta-RL framework, whereby a striatal model-free learning algorithm is used to adjust synaptic weights of the PFC network, enabling a free-standing learning algorithm through neuronal dynamics. However, it is u