Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function
By Michael W. Reimann, Max Nolte, M. Scolamiero, Katharine Turner, Rodrigo Perin, G. Chindemi, Paweł Dłotko, Ran Levi, Kathryn Hess, Henry Markram. Frontiers in Computational Neuroscience, 2016
423 citations recorded by the source corpus.
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.
Subfields: Cognitive Neuroscience, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/8d0b6bdafd73a90dfc98a5598c7f43a52297e0ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Computational Theory and Mathematics
Citations in the corpus
- Higher order interactions in complex networks of phase oscillators promote abrupt synchronization switching (2019, background): “, three- and four-way interactions in addition to pair-wise interactions, and their role in shaping collective behavior [11, 12, 13, 14, 15, 16, 17, 18].”