Positive and negative reward coding by serotonin, acetylcholine, and dopamine network.

血清素、乙酰胆碱和多巴胺网络的正向和负向奖励编码。

• 批准号: 20300139
• 负责人: NAKAMURA Kae
• 金额: $ 6.74万
• 依托单位: Kansai Medical University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2008
• 资助国家: 日本
• 起止时间: 2008 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20300139/
• 关键词: ドパミン; セロトニン; アセチルコリン; 強化学習; 報酬; 脚橋被蓋核; 縫線核; 霊長類; モノアミン神経伝達物質; 嫌悪; 眼球運動; サル; reinforcement learning

The strength of firing of midbrain dopaminergic neurons has been revealed that it carries reward prediction error signal in the framework of reinforcement learning where an agent chooses actions to maximize rewards. The dopamine neurons receive inputs from the pedunculopontine tegmental nucleus(PPTN), where many cholinergic neurons exist, and the dorsal raphe nucleus(DRN), where many serotonergic neurons exist. Thus we measured single neuronal activity of PPTN and DRN while monkeys performed eye movement tasks to obtain reward of different values and the Pavlovian conditioning task in which appetitive and aversive events were imposed. We found that while different PPTN neurons encoded predicted reward and actual rewards separately, DRN neurons often carried predicted and actual rewards by single neurons. Such different reward signals may be fed and integrated in the dopamine neurons to compute reward prediction error signal, which is used for the control of action and decision making.

在强化学习框架中，中脑多巴胺能神经元的放电强度被揭示为携带奖励预测误差信号，在强化学习框架中，智能体选择动作以最大化奖励。多巴胺神经元接受来自桥脑脚盖核(PPTN)和中缝背核(DRN)的输入，其中PPTN存在许多胆碱能神经元，DRN存在许多5-羟色胺能神经元。因此，我们测量了在猴子进行眼动任务以获得不同价值的奖励和巴甫洛夫条件反射任务时，PPTN和DRN的单个神经元活动。我们发现，当不同的PPTN神经元分别编码预测奖赏和实际奖赏时，DRN神经元往往携带单个神经元的预测奖赏和实际奖赏。这些不同的奖赏信号可能被馈送并整合在多巴胺神经元中，以计算奖赏预测误差信号，用于控制动作和决策。

项目成果

The pedunculopontine tegmental nucleus neurons encode predicted reward signal by tonic regular firing and given reward signal phasically

脚桥被盖核神经元通过强直规律放电和阶段性给予奖励信号来编码预测奖励信号

• 发表时间: 2011
• 作者: Kobayashi;Y. and Okada;K
• 通讯作者: K

Computational mechanism of reward prediction error by the Pedunculopontine tegmental nucleus neurons

桥脚被盖核神经元奖励预测误差的计算机制

• 发表时间: 2009
• 作者: Kobayashi Y;Okada K
• 通讯作者: Okada K

Pedunculopontine Tegmental Nucleus Neurons Signal Predicted and Actual Reward for Reinforcement Learning

桥脚被盖核神经元信号预测和强化学习的实际奖励

• 发表时间: 2008
• 作者: Ken-ichi Okada;Yasushi Kobayashi;芳賀洋一;Yasushi Kobayashi
• 通讯作者: Yasushi Kobayashi

Positive and negative reward value coding in the primate lateral hypothalamus.

灵长类下丘脑外侧的正奖励值和负奖励值编码。

• 发表时间: 2010
• 作者: Noritake;A.;Nakamura;K.
• 通讯作者: K.

サル背側縫線核における報酬および嫌悪刺激の情報表現Neuronal coding of rewarding and aversive stimuli in the primate dorsal raphe mucieus

灵长类中缝背侧粘液奖励和厌恶刺激的神经元编码

• 发表时间: 2010
• 作者: Hayashi;K;. Nakao;K.;Okada;K.;Kobayashi;Y.;Nakamura;K.
• 通讯作者: K.