Computer Systems Laboratory, School of Engineering and Applied Science, Yale University, New Haven, CT 06520;
Neuromorphic Computing Laboratory, Intel Corporation, San Francisco, CA 94158.
Proc Natl Acad Sci U S A. 2020 Nov 17;117(46):29212-29220. doi: 10.1073/pnas.2011724117. Epub 2020 Nov 2.
While the mechanisms generating the topographic organization of primary sensory areas in the neocortex are well studied, what generates secondary cortical areas is virtually unknown. Using physical parameters representing primary and secondary visual areas as they vary from monkey to mouse, we derived a network growth model to explore if characteristic features of secondary areas could be produced from correlated activity patterns arising from V1 alone. We found that V1 seeded variable numbers of secondary areas based on activity-driven wiring and wiring-density limits within the cortical surface. These secondary areas exhibited the typical mirror-reversal of map topography on cortical area boundaries and progressive reduction of the area and spatial resolution of each new map on the caudorostral axis. Activity-based map formation may be the basic mechanism that establishes the matrix of topographically organized cortical areas available for later computational specialization.
虽然生成新皮质初级感觉区域的地形组织的机制已经得到很好的研究，但生成次级皮质区域的机制实际上是未知的。使用代表从猴子到老鼠的初级和次级视觉区域的物理参数，我们得出了一个网络生长模型，以探索仅从 V1 产生的相关活动模式是否可以产生次级区域的特征。我们发现，V1 根据活性驱动的布线和皮质表面内的布线密度限制，播种了数量不定的次级区域。这些次级区域在皮质区域边界上表现出典型的地图地形反转，并且在尾端到头部轴上，每个新地图的区域和空间分辨率逐渐减小。基于活动的地图形成可能是建立可供以后计算专业化使用的地形组织皮质区域矩阵的基本机制。
