Controlling the chimera form in the Leaky Integrate-and-Fire model

We study the influence of broken connectivity and frequency disor- der in systems of coupled neuronal oscillators. Under nonlocal coupling, sys- tems of nonlinear oscillators, such as Kuramoto, FitzHugh-Nagumo or Integra- te-and-Fire oscillators, demonstrate nontrivial synchronization patterns. One of these patterns is the “chimera state”, which consists of coexisting coher- ent and incoherent domains. In networks of biological neurons, the connectiv- ity is not always perfect, but might be locally broken, or interrupted due to pathologies, neuron degenerative disorders or accidents. Our simulations show that destructed connectivity drastically affects synchronization, driving the coherent parts of the chimera state to cover symmetrically the region where the anomaly is located. The network synchronization decreases with the size of the destructed region as evidenced by the Kuramoto synchronization index. To the contrary, when keeping the connectivity of all nodes intact, altering the fre- quency in a block of oscillators drives the incoherent part of the chimera state toward the anomaly. This work is in-line with recent dynamical approaches aiming to locate anomalies in the structure of brain networks, in particular when the anomalies have small, difficult-to-detect sizes.