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UC San Francisco Study Revises Associative Learning Theory
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UC San Francisco scientists published Feb. 12 in Nature Neuroscience that the interval between cue-reward pairings, not sheer repetition, determines associative learning rate and dopaminergic prediction signals. In mice, widely spaced rewards produced equivalent or faster learning than many closely spaced trials, and intermittent reward delivery accelerated cue-evoked dopamine, challenging traditional reinforcement models and affecting education, addiction, and AI.
