强化学习
赫比理论
基底神经节
神经科学
突触可塑性
心理学
认知
对偶(语法数字)
钢筋
人工智能
人工神经网络
机器学习
计算机科学
生物
中枢神经系统
生物化学
受体
艺术
社会心理学
文学类
作者
Fuli Jin,Mengmeng Li,Long Yang,Lifang Yang,Zhigang Shang
摘要
Understanding value learning in animals is a key focus in cognitive neuroscience. Current models used in research are often simple, and while more complex models have been proposed, it remains unclear which assumptions align with actual value learning strategies of animals. This study investigated the computational mechanisms behind value learning in pigeons using a free-choice task. Three models were constructed based on different assumptions about the role of the basal ganglia's dual pathways and synaptic plasticity in value computation, followed by model comparison and neural correlation analysis. Among the three models tested, the dual-pathway reinforcement learning model with Hebbian rules most closely matched the pigeons’ behavior. Furthermore, the striatal gamma band connectivity showed the highest correlation with the values estimated by this model. Additionally, enhanced beta band connectivity in the nidopallium caudolaterale supported value learning. This study provides valuable insights into reinforcement learning mechanisms in non-human animals.
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