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Functional Cliques in Developmentally Correlated Neural Networks

S. Luccioli, A. Barzilai, E. Ben-Jacob, P. Bonifazi, A. Torcini
doi: https://doi.org/10.1101/064147
S. Luccioli
1CNR - Consiglio Nazionale delle Ricerche - Istituto dei Sistemi Complessi, 50019 Sesto Fiorentino, Italy; INFN - Istituto Nazionale di Fisica Nucleare - Sezione di Firenze, 50019 Sesto Fiorentino, Italy: Joint Italian-Israeli Laboratory on Integrative Network Neuroscience, Tel Aviv University, Ramat Aviv, Israel. e-mail:
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  • For correspondence: stefano.luccioli@fi.isc.cnr.it
A. Barzilai
2Joint Italian-Israeli Laboratory on Integrative Network Neuroscience, Tel Aviv University, Ramat Aviv, Israel; Department of Neurobiology, George S. Wise Faculty of Life Sciences and Sagol School of Neuroscience, Tel Aviv University, Ramat Aviv, Israel.
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E. Ben-Jacob
3Joint Italian-Israeli Laboratory on Integrative Network Neuroscience, Tel Aviv University, Ramat Aviv, Israel: Beverly and Sackler Faculty of Exact Sciences School of Physics and Astronomy, Tel Aviv University, Ramat Aviv, Israel.
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P. Bonifazi
4Joint Italian-Israeli Laboratory on Integrative Network Neuroscience, Tel Aviv University, Ramat Aviv, Israel; Beverly and Sackler Faculty of Exact Sciences School of Physics and Astronomy, Tel Aviv University, Ramat Aviv, Israel; Computational Neuroimaging Lab, BioCruces Health Research Institute, Hospital Universitario Cruces, Plaza de Cruces, s/n E-48903, Barakaldo, Spain. e-mail:
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  • For correspondence: paol.bonifazi@gmail.com
A. Torcini
5Aix Marseille Univ, Inserm, INMED, Institute de Neurobiologie de la Méditerranée and INS, Institut de Neurosciences des Systémes, Marseille, France; Aix-Marseille Université, Université de Toulon, CNRS, CPT, UMR 7332, 13288 Marseille, France; CNR - Consiglio Nazionale delle Ricerche - Istituto dei Sistemi Complessi, 50019 Sesto Fiorentino, Italy: Joint Italian-Israeli Laboratory on Integrative Network Neuroscience, Tel Aviv University, Ramat Aviv, Israel. e-mail:
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  • For correspondence: alessandro.torcini@univ-amu.fr
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Abstract

We consider a sparse random network of excitatory leaky integrate-andfire 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.

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Posted July 18, 2016.
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Functional Cliques in Developmentally Correlated Neural Networks
S. Luccioli, A. Barzilai, E. Ben-Jacob, P. Bonifazi, A. Torcini
bioRxiv 064147; doi: https://doi.org/10.1101/064147
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Functional Cliques in Developmentally Correlated Neural Networks
S. Luccioli, A. Barzilai, E. Ben-Jacob, P. Bonifazi, A. Torcini
bioRxiv 064147; doi: https://doi.org/10.1101/064147

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