Publication: Neurostimulation reveals context-dependent arbitration between model-based and model-free reinforcement learning
Neurostimulation reveals context-dependent arbitration between model-based and model-free reinforcement learning
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Weissengruber, S., Lee, S. W., O’Doherty, J. P., & Ruff, C. C. (2019). Neurostimulation reveals context-dependent arbitration between model-based and model-free reinforcement learning. Cerebral Cortex, 29(11), 4850–4862. https://doi.org/10.1093/cercor/bhz019
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While it is established that humans use model-based (MB) and model-free (MF) reinforcement learning in a complementary fashion, much less is known about how the brain determines which of these systems should control behavior at any given moment. Here we provide causal evidence for a neural mechanism that acts as a context-dependent arbitrator between both systems. We applied excitatory and inhibitory transcranial direct current stimulation over a region of the left ventrolateral prefrontal cortex previously found to encode the reliabi
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Weissengruber, S., Lee, S. W., O’Doherty, J. P., & Ruff, C. C. (2019). Neurostimulation reveals context-dependent arbitration between model-based and model-free reinforcement learning. Cerebral Cortex, 29(11), 4850–4862. https://doi.org/10.1093/cercor/bhz019