Functional Cliques in Developmentally Correlated Neural Networks

Stefano Luccioli*, Ari Barzilai, Eshel Ben-Jacob, Paolo Bonifazi, Alessandro Torcini

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


We consider a sparse random network of excitatory leaky integrate-and-fire neurons with short-term synaptic depression. Furthermore to mimic the dynamics of a brain circuit in its first stages of development we introduce for each neuron correlations among in-degree and out-degree as well as among excitability and the corresponding total degree. We analyze the influence of single neuron stimulation and deletion on the collective dynamics of the network. We show the existence of a small group of neurons capable of controlling and even silencing the bursting activity of the network. These neurons form a functional clique since only their activation in a precise order and within specific time windows is capable to ignite population bursts.

Original languageEnglish
Title of host publicationPoliTO Springer Series
Number of pages12
StatePublished - 2019

Publication series

NamePoliTO Springer Series
ISSN (Print)2509-6796
ISSN (Electronic)2509-7024


Dive into the research topics of 'Functional Cliques in Developmentally Correlated Neural Networks'. Together they form a unique fingerprint.

Cite this