Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA; Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA; Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Curr Biol. 2022 Mar 14;32(5):1010-1025.e9. doi: 10.1016/j.cub.2022.01.015. Epub 2022 Feb 2.
Sensorimotor transformations are mediated by premotor brain networks where individual neurons represent sensory, cognitive, and movement-related information. Such multiplexing poses a conundrum-how does a decoder know precisely when to initiate a movement if its inputs are active at times when a movement is not desired (e.g., in response to sensory stimulation)? Here, we propose a novel hypothesis: movement is triggered not only by an increase in firing rate but, critically, also by a reliable temporal pattern in the population response. Laminar recordings in the macaque superior colliculus (SC), a midbrain hub of orienting control, and pseudo-population analyses in SC and cortical frontal eye fields (FEFs) corroborated this hypothesis. Specifically, using a measure that captures the fidelity of the population code-here called temporal stability-we show that the temporal structure fluctuates during the visual response but becomes increasingly stable during the movement command. Importantly, we used spatiotemporally patterned microstimulation to causally test the contribution of population temporal stability in gating movement initiation and found that stable stimulation patterns were more likely to evoke a movement. Finally, a spiking neuron model was able to discriminate between stable and unstable input patterns, providing a putative biophysical mechanism for decoding temporal structure. These findings offer new insights into the long-standing debate on motor preparation and generation by situating the movement gating signal in temporal features of activity in shared neural substrates, and they highlight the importance of short-term population history in neuronal communication and behavior.
感觉运动转换是由运动前脑网络介导的,其中单个神经元代表感觉、认知和运动相关信息。这种多路复用带来了一个难题——如果解码器的输入在不希望运动的时候(例如,对感觉刺激的反应)是活跃的,那么解码器如何准确地知道何时开始运动?在这里,我们提出了一个新的假设:运动不仅是由神经元的放电率增加触发的,而且关键是由群体反应中的可靠时间模式触发的。在猴上丘(SC)的分层记录,一个定向控制的中脑枢纽,以及在 SC 和皮质额眼区(FEF)中的伪群体分析,证实了这一假设。具体来说,我们使用了一种捕捉群体编码保真度的度量标准——这里称为时间稳定性——我们表明,在视觉反应期间,时间结构会波动,但在运动命令期间会变得越来越稳定。重要的是,我们使用时空模式微刺激来因果地测试群体时间稳定性在门控运动启动中的贡献,发现稳定的刺激模式更有可能引起运动。最后,一个尖峰神经元模型能够区分稳定和不稳定的输入模式,为解码时间结构提供了一个潜在的生物物理机制。这些发现为运动准备和产生的长期争论提供了新的见解,将运动门控信号置于共享神经基质中活动的时间特征中,并强调了短期群体历史在神经元通信和行为中的重要性。