Chen Wenqi, Liang Jiejunyi, Wu Qiyun, Han Yunyun
Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Nat Commun. 2024 Jul 17;15(1):6020. doi: 10.1038/s41467-024-50388-9.
Adjusting decision-making under uncertain and dynamic situations is the hallmark of intelligence. It requires a system capable of converting feedback information to renew the internal value. The anterior cingulate cortex (ACC) involves in error and reward events that prompt switching or maintenance of current decision strategies. However, it is unclear whether and how the changes of stimulus-action mapping during behavioral adaptation are encoded, nor how such computation drives decision adaptation. Here, we tracked ACC activity in male mice performing go/no-go auditory discrimination tasks with manipulated stimulus-reward contingencies. Individual ACC neurons integrate the outcome information to the value representation in the next-run trials. Dynamic recruitment of them determines the learning rate of error-guided value iteration and decision adaptation, forming a non-linear feedback-driven updating system to secure the appropriate decision switch. Optogenetically suppressing ACC significantly slowed down feedback-driven decision switching without interfering with the execution of the established strategy.
在不确定和动态的情况下调整决策是智能的标志。这需要一个能够转换反馈信息以更新内部价值的系统。前扣带皮层(ACC)参与错误和奖励事件,这些事件促使当前决策策略的切换或维持。然而,尚不清楚行为适应过程中刺激-动作映射的变化是否以及如何被编码,也不清楚这种计算如何驱动决策适应。在这里,我们追踪了雄性小鼠在执行具有操纵性刺激-奖励意外情况的Go/No-Go听觉辨别任务时ACC的活动。单个ACC神经元将结果信息整合到下一轮试验中的价值表征中。它们的动态招募决定了错误引导的价值迭代和决策适应的学习率,形成了一个非线性反馈驱动的更新系统,以确保适当的决策切换。光遗传学抑制ACC显著减缓了反馈驱动的决策切换,而不干扰既定策略的执行。