4.4 Article

Columnar connectome: toward a mathematics of brain function

期刊

NETWORK NEUROSCIENCE
卷 3, 期 3, 页码 779-791

出版社

MIT PRESS
DOI: 10.1162/netn_a_00088

关键词

Primate; Cerebral cortex; Functional networks; Functional tract tracing; Matrix mapping; Brain theory; Artificial intelligence

资金

  1. National Natural Science Foundation of China [81430010, 31627802]
  2. National Hi-Tech Research and Development Program Grant [2015AA020515]

向作者/读者索取更多资源

Understanding brain networks is important for many fields, including neuroscience, psychology, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in the United States, Europe, and Asia producing brain connection maps with resolutions at macro- and microscales. However, still lacking is a mesoscale connectome. This viewpoint (1) explains the need for a mesoscale connectome in the primate brain (the columnar connectome), (2) presents a new method for acquiring such data rapidly on a large scale, and (3) proposes how one might use such data to achieve a mathematics of brain function.

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