Complex Systems Group & GISC, Universidad Rey Juan Carlos, 28933 Móstoles, Madrid, Spain.
Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
Phys Rev E. 2019 Nov;100(5-1):052305. doi: 10.1103/PhysRevE.100.052305.
We explore the consequences of introducing higher-order interactions in a geometric complex network of Morris-Lecar neurons. We focus on the regime where traveling synchronization waves are observed from a first-neighbors-based coupling to evaluate the changes induced when higher-order dynamical interactions are included. We observe that the traveling-wave phenomenon gets enhanced by these interactions, allowing the activity to travel further in the system without generating pathological full synchronization states. This scheme could be a step toward a simple phenomenological modelization of neuroglial networks.
我们探索了在 Morris-Lecar 神经元的几何复发性网络中引入高阶相互作用的后果。我们专注于观察到的行波同步现象，评估包含高阶动力学相互作用时所产生的变化。我们发现，这些相互作用增强了行波现象，使得活动能够在系统中传播得更远，而不会产生病理性的全同步状态。这种方案可能是对神经胶质网络进行简单的唯象模型化的一个步骤。
