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Large-scale organization of the primate cortical visual system

机译:大型组织的灵长类动物皮层视觉系统

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Abstract: The primate cortical visual system is composed of many structurally and functionally distinct areas or processing compartments, each of which receives on average about ten afferent inputs from other cortical areas and sends about the same number of output projections. The visual cortex is thus served by a very large number of cortico-cortical connections, so that the areas and their interconnections form a network of remarkable complexity. The gross organization of this cortical processing system hence represents a formidable topological problem: while the spatial position of the areas in the brain are becoming fairly well established, the gross `processing architecture,' defined by the connections, is much less well understood. I have applied optimization analysis to connectional data on the cortical visual system to address this topological problem. This approach gives qualitative and quantitative insight into the connectional topology of the primate cortical visual system and provides new evidence supporting suggestions that the system is divided into a dorsal `stream' and a ventral `stream' with limited cross-talk, that these two streams reconverge in the region of the principal sulcus (area 46) and in the superior temporal polysensory areas, that the system is hierarchically organized, and that the majority of the connections are from nearest-neighbor and next-door-but-one areas. The robustness of the results is shown by reanalyzing the connection data after various manipulations that simulate gross changes to the neuroanatomical database. !30
机译:摘要:灵长类动物皮层视觉系统由许多结构和功能上不同的区域或处理隔室组成,每个区域或处理隔室平均接收来自其他皮层区域的大约十个传入输入,并发送相同数量的输出投影。因此,视觉皮层由大量的皮质-皮质连接所服务,因此这些区域及其相互连接形成了极为复杂的网络。因此,这种皮层处理系统的总体组织构成了一个巨大的拓扑问题:尽管大脑中各个区域的空间位置已变得相当完善,但由连接定义的总体“处理架构”却鲜为人知。我已将优化分析应用于皮质视觉系统上的连接数据,以解决此拓扑问题。这种方法对灵长类动物皮层视觉系统的连接拓扑结构提供了定性和定量的见解,并提供了新的证据支持建议,即该系统分为具有有限串扰的背侧“流”和腹侧“流”,即这两个流在主沟区域(区域46)和颞上多感官区域中重新收敛,系统是按层次组织的,并且大多数连接来自最近邻区和隔壁一个区。通过在模拟神经解剖数据库的总体变化的各种操作之后重新分析连接数据,可以显示结果的鲁棒性。 !30

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