Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Reimann, M. W, Nolte, M., Scolamiero, M., Turner, K., Perin, R., Chindemi, G., Dłotko, P., Levi, R., Hess, K., & Markram, H. Frontiers in computational neuroscience, 11(1):48, 2017. arXiv: 1601.01580 Publisher: Frontiers Media SA ISBN: 1662-5188![Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{Dotko2016,
title = {Cliques of {Neurons} {Bound} into {Cavities} {Provide} a {Missing} {Link} between {Structure} and {Function}.},
volume = {11},
issn = {1662-5188},
url = {http://www.ncbi.nlm.nih.gov/pubmed/28659782},
doi = {10.3389/fncom.2017.00048},
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 toward peak complexity. We propose that the brain processes stimuli by forming increasingly complex functional cliques and cavities.},
number = {1},
urldate = {2017-10-18},
journal = {Frontiers in computational neuroscience},
author = {Reimann, Michael W and Nolte, Max and Scolamiero, Martina and Turner, Katharine and Perin, Rodrigo and Chindemi, Giuseppe and Dłotko, Paweł and Levi, Ran and Hess, Kathryn and Markram, Henry},
year = {2017},
pmid = {28659782},
note = {arXiv: 1601.01580
Publisher: Frontiers Media SA
ISBN: 1662-5188},
keywords = {Betti numbers, connectomics, correlations, directed networks, neuronal, population coding, structure-function, topology},
pages = {48},
}
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