Synchronization patterns in LIF Neural Networks: Merging Nonlocal and Diagonal Connectivity
N. D. Tsigkri-DeSmedt, I. Koulierakis, G. Karakos, A. Provata

TL;DR
This paper explores how diagonal and combined nonlocal-diagonal connectivities influence synchronization and chimera states in Leaky Integrate-and-Fire neural networks, revealing new phenomena and parameter regimes for these complex states.
Contribution
It introduces the effects of diagonal coupling and combined connectivity on chimera states in LIF networks, identifying novel synchronization phenomena and parameter regions for their emergence.
Findings
Chimera states occur for both diagonal and combined connectivities.
Increasing coupling range favors the emergence of chimera states.
Different coupling strengths lead to distinct phase velocity behaviors.
Abstract
The effects of nonlocal and reflecting connectivities have been previously investigated in coupled Leaky Integrate-and-Fire (LIF) elements, which assimilate the exchange of electrical signals between neurons. In this work we investigate the effect of diagonal coupling inspired by findings in brain neuron connectivity. Multi-chimera states are reported both for the simple diagonal and combined nonlocal-diagonal connectivities and we determine the range of optimal parameter regions where chimera states appear. Overall, the measures of coherence indicate that as the coupling range increases (below all-to-all coupling) the emergence of chimera states is favoured and the mean phase velocity deviations between coherent and incoherent regions become more prominent. A number of novel synchronization phenomena are induced as a result of the combined connectivity. We record that for coupling…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Neural dynamics and brain function · Neural Networks Stability and Synchronization
