Columnar connectome: Toward a mathematics of brain function

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)779-791
Number of pages13
JournalNetwork Neuroscience
Volume3
Issue number3
DOIs
Publication statusPublished - Jan 1 2018

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Keywords

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

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Artificial Intelligence
  • Applied Mathematics

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