2023
DOI: 10.1016/j.chaos.2023.113547
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Dynamical and topological conditions triggering the spontaneous activation of Izhikevich neuronal networks

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“…In the main model, we assumed that the network’s connectivity is random ( Figures 1 A and 1B). 3 , 27 , 60 , 62 , 83 , 84 , 85 , 86 , 87 , 88 , 89 Although this topology is a good approximation for brain connectivity on small scales ( microns), it does not take into account the decrease in connection probability with distance, 82 or the presence of long-range connections between different regions. 90 To test how changes in topology affect the results and to incorporate long-range connections, we constructed a small-world network by rewiring the excitatory connections in a regular network (see Figures S5 A and S5B, and STAR Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…In the main model, we assumed that the network’s connectivity is random ( Figures 1 A and 1B). 3 , 27 , 60 , 62 , 83 , 84 , 85 , 86 , 87 , 88 , 89 Although this topology is a good approximation for brain connectivity on small scales ( microns), it does not take into account the decrease in connection probability with distance, 82 or the presence of long-range connections between different regions. 90 To test how changes in topology affect the results and to incorporate long-range connections, we constructed a small-world network by rewiring the excitatory connections in a regular network (see Figures S5 A and S5B, and STAR Methods ).…”
Section: Resultsmentioning
confidence: 99%