Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation.
Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation.
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DOI:
10.1016/j.celrep.2022.111470
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发表时间:
2022-10-11
期刊:
影响因子:
8.8
通讯作者:
Saleem, Aman B.
中科院分区:
文献类型:
--
作者:
Farrell, Karolina;Lak, Armin;Saleem, Aman B.
Goal-directed navigation requires learning to accurately estimate location and select optimal actions in each location. Midbrain dopamine neurons are involved in reward value learning and have been linked to reward location learning. They are therefore ideally placed to provide teaching signals for goal-directed navigation. By imaging dopamine neural activity as mice learned to actively navigate a closed-loop virtual reality corridor to obtain reward, we observe phasic and pre-reward ramping dopamine activity, which are modulated by learning stage and task engagement. A Q-learning model incorporating position inference recapitulates our results, displaying prediction errors resembling phasic and ramping dopamine neural activity. The model predicts that ramping is followed by improved task performance, which we confirm in our experimental data, indicating that the dopamine ramp may have a teaching effect. Our results suggest that midbrain dopamine neurons encode phasic and ramping reward prediction error signals to improve goal-directed navigation. VTA dopamine neurons have phasic and ramping activity during goal-directed navigation Pre-reward ramping is modulated by learning and task engagement A Q-learning model emulates phasic and ramping dopamine neuron activity in TD error Pre-reward ramps in dopamine neuron activity and TD error improve task performance Dopamine neurons signal reward prediction error in their phasic activity, but reports of ramping activity and its potential function remain controversial. Using experimental and computational methods, Farrell et al. show that dopamine neurons display phasic and ramping activity and both act as reward prediction error signals for improving goal-directed navigation.
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