McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Neurosci. 2018 Jan;21(1):102-110. doi: 10.1038/s41593-017-0028-6. Epub 2017 Dec 4.
Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural basis of such flexibility, we recorded from the medial frontal cortex of nonhuman primates trained to produce different time intervals with different effectors. Neural responses were heterogeneous, nonlinear, and complex, and they exhibited a remarkable form of temporal invariance: firing rate profiles were temporally scaled to match the produced intervals. Recording from downstream neurons in the caudate and from thalamic neurons projecting to the medial frontal cortex indicated that this phenomenon originates within cortical networks. Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. These findings demonstrate a simple and general mechanism for conferring temporal flexibility upon sensorimotor and cognitive functions.
音乐家可以演奏不同的节奏,演讲者可以控制演讲的音高,儿童可以灵活地改变他们对事件的时间预期。为了理解这种灵活性的神经基础,我们记录了受过训练的非人类灵长类动物的内侧前额叶皮层的神经活动,这些动物可以用不同的效应器产生不同的时间间隔。神经反应是异质的、非线性的和复杂的,并且表现出一种显著的时间不变性:放电率曲线与产生的间隔相匹配。从尾状核中的下游神经元和投射到内侧前额叶皮层的丘脑神经元的记录表明,这种现象起源于皮质网络内部。接受训练以执行任务的递归神经网络模型表明,时间缩放源于网络中的非线性,并且缩放的程度由外部输入的强度控制。这些发现为赋予感觉运动和认知功能时间灵活性提供了一种简单而通用的机制。