The behavioral signature of stepwise learning strategy in male rats and its neural correlate in the basal forebrain
Studies of associative learning have commonly focused on how rewarding outcomes are predicted by either sensory stimuli or animals’ actions. However, in many learning scenarios, reward delivery requires the occurrence of both sensory stimuli and animals’ actions in a specific order, in the form of b...
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Veröffentlicht in: | Nature communications 2023-07, Vol.14 (1), p.4415-4415, Article 4415 |
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Sprache: | eng |
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Zusammenfassung: | Studies of associative learning have commonly focused on how rewarding outcomes are predicted by either sensory stimuli or animals’ actions. However, in many learning scenarios, reward delivery requires the occurrence of both sensory stimuli and animals’ actions in a specific order, in the form of behavioral sequences. How such behavioral sequences are learned is much less understood. Here we provide behavioral and neurophysiological evidence to show that behavioral sequences are learned using a stepwise strategy. In male rats learning a new association, learning started from the behavioral event closest to the reward and sequentially incorporated earlier events. This led to the sequential refinement of reward-seeking behaviors, which was characterized by the stepwise elimination of ineffective and non-rewarded behavioral sequences. At the neuronal level, this stepwise learning process was mirrored by the sequential emergence of basal forebrain neuronal responses toward each event, which quantitatively conveyed a reward prediction error signal and promoted reward-seeking behaviors. Together, these behavioral and neural signatures revealed how behavioral sequences were learned in discrete steps and when each learning step took place.
How animals learn that reward is predicted by multi-event sequences consisting of sensory stimuli and actions remains poorly understood. Here, the authors show that such learning starts from the event closest to the reward and sequentially incorporates earlier events. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-023-40145-9 |