INM-6/network_validation: Simulation data (implementations in C and on the SpiNNaker neuromorphic architecture) and a Jupyter notebook replicating the results presented in Trensch et al. and Gutzen et al. using the NetworkUnit package. @ 4db211cb2b05d7389c99d74b1b5a735b433e34ab

Robin Gutzen 4db211cb2b adding more description to result generating notebook and the simulation codes		vor 5 Jahren
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C_model	3df4f1095b add simulation codes from github.com/gtrensch/RigorousNeuralNetworkSimulations	vor 5 Jahren
Evaluate_ODE_solver_implementations	4db211cb2b adding more description to result generating notebook and the simulation codes	vor 5 Jahren
SpiNNaker_model	4db211cb2b adding more description to result generating notebook and the simulation codes	vor 5 Jahren
LICENSE	4db211cb2b adding more description to result generating notebook and the simulation codes	vor 5 Jahren
README.md	4db211cb2b adding more description to result generating notebook and the simulation codes	vor 5 Jahren

These are the C/C++ source files and PyNN scripts developed as part of a study to reproduce selected network states of the Izhikevich polychronization model on the SpiNNaker neuromorphic system.

STATUS: Several releases for this source code have been published on Zenodo:

Ver. 1.0:

Ver. 2.0

README.md