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Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales

机译:在缓慢时间尺度下从自发神经元动力学产生反相关的皮质网络

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In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patterns may be solely attributed to intrinsic connections of the local cortical network. Using high-density microelectrode arrays, here we show that in the isolated, primary somatosensory cortex of mice, neuronal firing fluctuates on timescales from milliseconds to tens of seconds. Slower firing fluctuations reveal two spatially distinct neuronal ensembles, which correspond to superficial and deeper layers. These ensembles are anti-correlated: when one fires more, the other fires less and vice versa. This interplay is clearest at timescales of several seconds and is therefore consistent with shifts between active sensing and anticipatory behavioral states in mice.
机译:在脑皮质的高度相互关联的架构中,复发性鞘内回路不成比例地偏向于占状模皮层的输入。这些网络也能够在没有前馈感觉驱动的情况下产生神经元活动。然而,它是未知的,即天空模式可以仅归因于本地皮质网络的内在连接。使用高密度微电极阵列,在这里,我们表明,在孤立的小鼠的原发性躯体传感皮层中,神经元烧制波动在毫秒为几十秒的时间内波动。焦点射击波动揭示了两个空间不同的神经元合奏,其对应于浅层和更深层。这些合奏是反相关的:当一个人发出更多时,另一个射击较少,反之亦然。这种相互作用在几秒钟的时间尺度上最清晰,因此与小鼠中的活性感测和预期行为状态之间的变化一致。

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