Topic: neuromodulated RNN

Neuromodulatory signals are powerful and prevalent influences on behavior. For example, dopaminergic inputs to the dorsolateral striatum are correlated with action selection and invigoration, and the loss of dopaminergic drive in Parkinson's disease manifests in deficits of movement timing and initiation. While the role of dopamine in the cortex-basal ganglia-thalamaus (C-BG-T) loop has been explored within the framework of reinforcement learning, computational models of how dopamine might influence fast-timescale movement generation have not been explored to the same extent. Here, we propose