Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Frankfurt, Germany.
School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Elife. 2021 Mar 16;10:e61619. doi: 10.7554/eLife.61619.
Spontaneous activity drives the establishment of appropriate connectivity in different circuits during brain development. In the mouse primary visual cortex, two distinct patterns of spontaneous activity occur before vision onset: local low-synchronicity events originating in the retina and global high-synchronicity events originating in the cortex. We sought to determine the contribution of these activity patterns to jointly organize network connectivity through different activity-dependent plasticity rules. We postulated that local events shape cortical input selectivity and topography, while global events homeostatically regulate connection strength. However, to generate robust selectivity, we found that global events should adapt their amplitude to the history of preceding cortical activation. We confirmed this prediction by analyzing spontaneous cortical activity. The predicted adaptation leads to the sparsification of spontaneous activity on a slower timescale during development, demonstrating the remarkable capacity of the developing sensory cortex to acquire sensitivity to visual inputs after eye-opening.
自发性活动在大脑发育过程中驱动不同回路中适当连接的建立。在小鼠初级视觉皮层中,在视觉出现之前会发生两种截然不同的自发性活动模式:起源于视网膜的局部低同步事件和起源于皮层的全局高同步事件。我们试图确定这些活动模式通过不同的活动依赖性可塑性规则对网络连接进行联合组织的贡献。我们假设局部事件塑造皮层输入的选择性和拓扑结构,而全局事件则通过同源调节来调节连接强度。然而,为了产生稳健的选择性,我们发现全局事件应该根据皮层先前激活的历史来调整其幅度。我们通过分析自发皮层活动证实了这一预测。预测的适应导致在发育过程中以较慢的时间尺度上自发性活动的稀疏化,这表明发育中的感觉皮层具有令人惊讶的能力,可以在眼睛睁开后获得对视觉输入的敏感性。