期刊
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
卷 11, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fncom.2017.00048
关键词
connectomics; topology; directed networks; structure-function; correlations; Betti numbers
资金
- ETH Domain for the Blue Brain Project
- Laboratory of Neural Microcircuitry
- ETH Board
- NCCR Synapsy grant of the Swiss National Science Foundation
- GUDHI project
- Advanced Investigator Grant of the European Research Council
The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. We have now come closer to describing such a link by taking the direction of synaptic transmission into account, constructing graphs of a network that reflect the direction of information flow, and analyzing these directed graphs using algebraic topology. Applying this approach to a local network of neurons in the neocortex revealed a remarkably intricate and previously unseen topology of synaptic connectivity. The synaptic network contains an abundance of cliques of neurons bound into cavities that guide the emergence of correlated activity. In response to stimuli, correlated activity binds synaptically connected neurons into functional cliques and cavities that evolve in a stereotypical sequence toward peak complexity. We propose that the brain processes stimuli by forming increasingly complex functional cliques and cavities.
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