当前标签：神经递质与脑区

Control of synaptic plasticity in deep cortical networks 穷酸秀才大草包 2020-12-23 15:37 阅读:397 评论:0 推荐:0   
Action and learning shape the activity of neuronal circuits in the visual cortex 穷酸秀才大草包 2020-09-29 10:57 阅读:348 评论:0 推荐:0   
A Genetically Defined Compartmentalized Striatal Direct Pathway for Negative Reinforcement 穷酸秀才大草包 2020-09-18 18:56 阅读:337 评论:0 推荐:0   
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated 穷酸秀才大草包 2020-08-31 19:49 阅读:649 评论:0 推荐:0   
Why there are Complementary Learning Systems in the Hippocampus and Neocortex: Insights from the Successes and Failures of Connectionist Models of Learning and Memory 穷酸秀才大草包 2020-08-30 21:13 阅读:170 评论:0 推荐:0   
The value of what's to come: Neural mechanisms coupling prediction error and the utility of anticipation 穷酸秀才大草包 2020-08-30 21:04 阅读:339 评论:1 推荐:0   
Play it again: reactivation of waking experience and memory 穷酸秀才大草包 2020-08-17 17:31 阅读:450 评论:0 推荐:0   
Prefrontal cortex as a meta-reinforcement learning system 穷酸秀才大草包 2020-07-21 17:32 阅读:912 评论:0 推荐:0   
Reinforcement learning in artificial and biological systems 穷酸秀才大草包 2020-07-21 17:13 阅读:585 评论:0 推荐:0   
Deep and Beautiful. The Reward Prediction Error Hypothesis of Dopamine 穷酸秀才大草包 2020-07-10 15:01 阅读:744 评论:0 推荐:0   
Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis 穷酸秀才大草包 2020-07-10 14:44 阅读:572 评论:0 推荐:0   
A distributional code for value in dopamine-based reinforcement learning 穷酸秀才大草包 2020-07-08 17:20 阅读:633 评论:0 推荐:0   
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of neoHebbian Three-Factor Learning Rules 穷酸秀才大草包 2020-05-25 19:40 阅读:768 评论:0 推荐:0   

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