*** A cleaner, Python implementation of these functionalities available upon request ***

Dynamical complexity in ensembles of bursting oscillators

This package contains a .cpp to simulate networks of spiking/bursting Izhikevich neurons and .m scripts for post-simulation analysis.

Networks are simulated on CARLsim, a GPU-accelerated simulator. Beyeler, M., Carlson, K. D., Chou, T. S., Dutt, N., and Krichmar, J. L. (2015). “A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks,” in International Joint Conference on Neural Networks (Killarney, IE).

Matlab scripts are provided for the following:

• measure synchrony/stability among pairs of oscillators
• plot distributions of stability
• construct state transition matrix at the level of individual pairs
• detect and analyze coherent domains of itinerant chimeras

For more details refer to this article: Itinerant complexity in networks of intrinsically bursting neurons.

Siva Venkadesh, Ernest Barreto*, Giorgio A. Ascoli* (*Co-senior authors) Chaos 30, 061106 (2020) https://doi.org/10.1063/5.0010334