Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks.
A major advance in understanding learning behavior stems from experiments showing that reward learning requires dopamine inputs to striatal neurons and arises from synaptic plasticity of cortico-striatal synapses.Numerous reinforcement learning models mimic this dopamine-dependent synaptic plasticity by using the reward prediction error, which rese