Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity
Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity
复制标题
DOI：
10.1016/j.cub.2020.04.090
复制
发表时间：
2020-07-20
期刊：
影响因子：
9.2
通讯作者：
Buschman, Timothy J.
中科院分区：
文献类型：
--
作者：
MacDowell, Camden J.;Buschman, Timothy J.
认知产生于大脑中神经活动的动态流动。为了捕捉这些动态，我们使用中尺度钙成像来记录清醒小鼠背侧皮层的神经活动。我们发现，皮质范围内活动的大部分变化（类似于75%）可以用一组有限的类似于14个“基序”的神经活动来解释。每一个图案都捕捉到了大脑皮层神经活动的独特时空模式。这些图案在动物中普遍存在，并在多种行为环境中观察到。不同的行为状态下，图案的表达不同，特定的图案参与感觉处理，这表明图案反映了核心皮层计算。总之，我们的研究结果表明，皮层范围内的神经活动是高度动态的，但这些动态仅限于一组低维的基序，可能允许有效地控制行为。
Cognition arises from the dynamic flow of neural activity through the brain. To capture these dynamics, we used mesoscale calcium imaging to record neural activity across the dorsal cortex of awake mice. We found that the large majority of variance in cortex-wide activity (similar to 75%) could be explained by a limited set of similar to 14 "motifs'' of neural activity. Each motif captured a unique spatiotemporal pattern of neural activity across the cortex. These motifs generalized across animals and were seen in multiple behavioral environments. Motif expression differed across behavioral states, and specific motifs were engaged by sensory processing, suggesting the motifs reflect core cortical computations. Together, our results show that cortex-wide neural activity is highly dynamic but that these dynamics are restricted to a low-dimensional set of motifs, potentially allowing for efficient control of behavior.