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Clustered cortical organization and the enhanced probability of intra-areal functional integration

机译:簇状皮质组织和区域内功能整合的可能性增加

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摘要

Similarly responsive neurons organize into submillimeter-sized clusters (domains) across many neocortical areas, notably in Areas V1 and V2 of primate visual cortex. While this clustered organization may arise from wiring minimization or from self-organizing development, it could potentially support important neural computation benefits. Here, we suggest that domain organization offers an efficient computational mechanism for intra-areal functional integration in certain cortical areas and hypothesize that domain proximity could support a higher-than-expected spatial correlation of their respective terminals yielding higher probabilities of integration of differing domain preferences. To investigate this hypothesis we devised a spatial model inspired by known parameters of V2 functional organization, where neighboring domains prefer either colored or oriented stimuli. Preference-selective joint probabilities were calculated for model terminal co-occurrence with configurations encompassing diverse domain proximity, shape, and projection. Compared to random distributions, paired neighboring domains (<= 1200 μm apart) yielded significantly enhanced coincidence of terminals converging from each domain. Using this reference data, a second larger-scale model indicated that V2 domain organization may accommodate relatively complete sets of intra-areal color/orientation integrations. Together, these data indicate that domain organization could support significant and efficient intra-areal integration of different preferences and suggest further experiments investigating prevalence and mechanisms of domain-mediated intra-areal integration.
机译:类似地,响应神经元在许多新皮层区域,特别是在灵长类视觉皮层的V1和V2区中,组织成亚毫米大小的簇(域)。虽然这种群集组织可能是由于布线的最小化或自组织开发而引起的,但它可能支持重要的神经计算优势。在这里,我们建议领域组织为某些皮质区域内的区域内功能整合提供一种有效的计算机制,并假设领域邻近性可以支持其各自终端的高于预期的空间相关性,从而产生更高的不同领域偏好整合的可能性。为了研究这个假设,我们设计了一个空间模型,该模型受V2功能组织的已知参数启发,其中相邻域更喜欢有色或定向的刺激。为模型终端共现计算了优先选择联合概率,该模型具有包含不同域接近度,形状和投影的配置。与随机分布相比,成对的相邻域(相距<= 1200μm)显着增强了从每个域收敛的终端的重合性。使用此参考数据,第二个较大规模的模型表明V2域组织可以容纳相对完整的一组区域内颜色/方向集成。总之,这些数据表明领域组织可以支持不同偏好的有效且有效的区域内整合,并建议开展进一步的实验来研究域介导的区域内整合的普遍性和机制。

著录项

  • 来源
    《Network》 |2010年第2期|P.1-34|共34页
  • 作者单位

    Department of Neurobiology and Anatomy, and Sensory Neuroscience Research Center, West Virginia University School of Medicine, USA;

    rnDepartment of Neurobiology and Anatomy, and Sensory Neuroscience Research Center, West Virginia University School of Medicine, USA Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA Department of Psychological and Brain Sciences, 1101 E. 10th Strree Bloomington Indiana 47405 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    topographic maps; network models; visual system; cortical microcircuitry;

    机译:地形图;网络模型;视觉系统皮质微电路;
  • 入库时间 2022-08-18 01:51:31

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