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 language | English (US) |
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Pages (from-to) | 779-791 |
Number of pages | 13 |
Journal | Network Neuroscience |
Volume | 3 |
Issue number | 3 |
DOIs | |
State | Published - Jan 1 2019 |
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