Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX, USA.
Brandeis University, Department of Biology and Volen National Center for Complex Systems, Waltham, MA, USA.
Nature. 2022 Nov;611(7936):554-562. doi: 10.1038/s41586-022-05378-6. Epub 2022 Nov 2.
Learning-related changes in brain activity are thought to underlie adaptive behaviours. For instance, the learning of a reward site by rodents requires the development of an over-representation of that location in the hippocampus. How this learning-related change occurs remains unknown. Here we recorded hippocampal CA1 population activity as mice learned a reward location on a linear treadmill. Physiological and pharmacological evidence suggests that the adaptive over-representation required behavioural timescale synaptic plasticity (BTSP). BTSP is known to be driven by dendritic voltage signals that we proposed were initiated by input from entorhinal cortex layer 3 (EC3). Accordingly, the CA1 over-representation was largely removed by optogenetic inhibition of EC3 activity. Recordings from EC3 neurons revealed an activity pattern that could provide an instructive signal directing BTSP to generate the over-representation. Consistent with this function, our observations show that exposure to a second environment possessing a prominent reward-predictive cue resulted in both EC3 activity and CA1 place field density that were more elevated at the cue than at the reward. These data indicate that learning-related changes in the hippocampus are produced by synaptic plasticity directed by an instructive signal from the EC3 that seems to be specifically adapted to the behaviourally relevant features of the environment.
学习相关的大脑活动变化被认为是适应行为的基础。例如,啮齿动物对奖励地点的学习需要在海马体中过度表现该位置。这种学习相关的变化是如何发生的仍然未知。在这里,我们记录了小鼠在线性跑步机上学习奖励位置时海马体 CA1 群体的活动。生理和药理学证据表明,所需的适应性过度表现需要行为时间尺度突触可塑性(BTSP)。BTSP 是由树突电压信号驱动的,我们提出这些信号是由内嗅皮层 3 层(EC3)的输入引发的。因此,CA1 的过度表现主要通过光遗传抑制 EC3 活动来消除。对 EC3 神经元的记录显示出一种活动模式,该模式可以提供一个指令信号,指导 BTSP 产生过度表现。与这一功能一致,我们的观察结果表明,暴露于具有突出奖励预测线索的第二个环境中,会导致 EC3 活动和 CA1 位置场密度在线索处比在奖励处更高。这些数据表明,海马体中的学习相关变化是由来自 EC3 的指令信号引导的突触可塑性产生的,这种信号似乎专门适应环境中与行为相关的特征。