首页> 外文期刊>Behavioral and Brain Sciences >Using big data to map the network organization of the brain
【24h】

Using big data to map the network organization of the brain

机译:使用大数据映射大脑的网络组织

获取原文
获取原文并翻译 | 示例
       

摘要

The past few years have shown a major rise in network analysis of "big data" sets in the social sciences, revealing non-obvious patterns of organization and dynamic principles. We speculate that the dependency dimension - individuality versus sociality - might offer important insights into the dynamics of neurons and neuronal ensembles. Connectomic neural analyses, informed by social network theory, may be helpful in understanding underlying fundamental principles of brain organization.
机译:在过去的几年中,社会科学领域对“大数据”集的网络分析显示出了巨大的增长,揭示了组织和动态原则的非显而易见的模式。我们推测依赖性维度-个性与社会性-可能提供有关神经元和神经元集成动力学的重要见解。通过社交网络理论进行的连通性神经分析可能有助于理解大脑组织的基本原理。

著录项

  • 来源
    《Behavioral and Brain Sciences》 |2014年第1期|101-102|共2页
  • 作者单位

    Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109,Department of Psychology, University of Michigan, Ann Arbor, MI 48105,Child Study Center, Yale University School of Medicine, New Haven, CT 06520;

    Department of Psychiatry, University of Michigan School of Medicine, Ann Arbor, MI 48109,Department of Philosophy, University of Michigan, Ann Arbor, MI 48105;

    Department of Physics, Northeastern University, Boston, MA 02115;

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

  • 入库时间 2022-08-18 02:20:40

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号