Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

Michael W. Reimann, Max Nolte, Martina Scolamiero, Katherine Turner, Rodrigo Perin, Guiseppe Chindemi, Pawel Dlotko, Ran Levi, Kathryn Hess, Henry Markram* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

132 Citations (Scopus)
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Abstract

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 towards peak complexity. We propose that the brain processes stimuli by forming increasingly complex functional cliques and cavities.
Original languageEnglish
Article number48
Number of pages16
JournalFrontiers in Computational Neuroscience
Volume11
DOIs
Publication statusPublished - 12 Jun 2017

Keywords

  • connectomics
  • topology
  • directed networks
  • structure-function
  • correlations
  • Betti numbers

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