Department of Bioengineering, Imperial College London, London, United Kingdom.
Neural and Cognitive Engineering Group, Centre for Automation and Robotics, Spanish National Research Council, Arganda del Rey, Spain.
Elife. 2022 Aug 15;11:e73155. doi: 10.7554/eLife.73155.
The spiking activity of populations of cortical neurons is well described by the dynamics of a small number of population-wide covariance patterns, whose activation we refer to as 'latent dynamics'. These latent dynamics are largely driven by the same correlated synaptic currents across the circuit that determine the generation of local field potentials (LFPs). Yet, the relationship between latent dynamics and LFPs remains largely unexplored. Here, we characterised this relationship for three different regions of primate sensorimotor cortex during reaching. The correlation between latent dynamics and LFPs was frequency-dependent and varied across regions. However, for any given region, this relationship remained stable throughout the behaviour: in each of primary motor and premotor cortices, the LFP-latent dynamics correlation profile was remarkably similar between movement planning and execution. These robust associations between LFPs and neural population latent dynamics help bridge the wealth of studies reporting neural correlates of behaviour using either type of recordings.
皮质神经元群体的尖峰活动可以很好地用少数群体范围协方差模式的动态来描述,我们将这些模式的激活称为“潜在动态”。这些潜在动态主要是由决定局部场电位 (LFP) 产生的整个电路中的相同相关突触电流驱动的。然而,潜在动态和 LFP 之间的关系在很大程度上仍未得到探索。在这里,我们在灵长类动物感觉运动皮层的三个不同区域对这种关系进行了描述。潜在动态和 LFP 之间的相关性是频率依赖的,并且在不同区域之间有所不同。然而,对于任何给定的区域,这种关系在整个行为过程中都是稳定的:在初级运动皮层和前运动皮层中,LFP-潜在动态相关性图谱在运动规划和执行之间非常相似。LFP 和神经群体潜在动态之间的这种稳健关联有助于弥合使用这两种记录方式报告行为神经相关物的大量研究之间的差距。