ch7/

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Path	Synopsis
bg bg is a simplified basal ganglia (BG) network showing how dopamine bursts can reinforce Go (direct pathway) firing for actions that lead to reward, and dopamine dips reinforce NoGo (indirect pathway) firing for actions that do not lead to positive outcomes, producing Thorndike's classic Law of Effect for instrumental conditioning, and also providing a mechanism to learn and select among actions with different reward probabilities over multiple experiences.	bg is a simplified basal ganglia (BG) network showing how dopamine bursts can reinforce Go (direct pathway) firing for actions that lead to reward, and dopamine dips reinforce NoGo (indirect pathway) firing for actions that do not lead to positive outcomes, producing Thorndike's classic Law of Effect for instrumental conditioning, and also providing a mechanism to learn and select among actions with different reward probabilities over multiple experiences.
pvlv
data
data/obsolete
rl_cond rl_cond explores the temporal differences (TD) reinforcement learning algorithm under some basic Pavlovian conditioning environments.	rl_cond explores the temporal differences (TD) reinforcement learning algorithm under some basic Pavlovian conditioning environments.