Abstract
A biologically-plausible simulation of a neuronal network is studied as its topology is shaped by its activity by means of an encoding of its connectivity structure as a directed clique complex. Specially defined invariants of this mathematical structure, including the information about synaptic strength, are introduced and show how the initial topology of a network and its evolution during the simulation are tightly inter-related with the dynamical activity.
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Masulli, P., & Villa, A. E. P. (2017). Weighted clique analysis reveals hierarchical neuronal network dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10613 LNCS, pp. 317–325). Springer Verlag. https://doi.org/10.1007/978-3-319-68600-4_37
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