Dopamine reward prediction errors reflect hidden-state inference across time
Nature Neuroscience(2017)
摘要
long-standing idea in modern neuroscience is that the brain computes inferences about the outside world rather than passively observing its environment. The authors record from midbrain dopamine neurons during tasks with different reward contingencies and show that responses are consistent with a learning rule that harnesses hidden-state inference.
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关键词
Reward,Learning algorithms
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