Robin Gutzen 2a804de26b updating simulations codes from github.com/gtrensch/ 5 years ago
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C_model 2a804de26b updating simulations codes from github.com/gtrensch/ 5 years ago
Evaluate_ODE_solver_implementations 4db211cb2b adding more description to result generating notebook and the simulation codes 5 years ago
SpiNNaker_model 2a804de26b updating simulations codes from github.com/gtrensch/ 5 years ago
LICENSE 4db211cb2b adding more description to result generating notebook and the simulation codes 5 years ago
README.md 2a804de26b updating simulations codes from github.com/gtrensch/ 5 years ago

README.md

Copied from github.com/gtrensch/RigorousNeuralNetworkSimulations

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: DOI

Ver. 2.0 DOI

datacite.yml
Title Resources for the article 'Reproducible neural network simulations: statistical methods for model validation on the level of network activity data'
Authors Gutzen,Robin;Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany;0000-0001-7373-5962
von Papen,Michael;Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany;0000-0001-5030-1643
Trensch,Guido;Simulation Lab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, JARA, Jülich Research Centre, Jülich, Germany;0000-0003-0411-3726
Quaglio,Pietro;Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany;0000-0002-8012-3056
Grün,Sonja;Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany;0000-0003-2829-2220
Denker,Michael;Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany;0000-0003-1255-7300
Description This repository hosts code and data to reproduce the findings of the article 'Reproducible neural network simulations: statistical methods for model validation on the level of network activity data'. In addition, the repository hosts an additional example for the use of the tool "NetworkUnit".
License BSD-3-Clause (https://opensource.org/licenses/BSD-3-Clause)
References Gutzen, R., von Papen, M., Trensch, G., Quaglio, P., Grün, S., and Denker, M. (2018). Reproducible neural network simulations: statistical methods for model validation on the level of network activity data [] (IsSupplementTo)
Trensch, G., Gutzen, R., Blundell, I., Denker, M., and Morrison, A. (2018). Rigorous neural network simulations: a model substantiation methodology for increasing the correctness of simulation results in the absence of experimental validation data [] (References)
Funding Helmholtz, ZT-I-0003
EU, EU.720270
EU, EU.785907
Keywords Neuroscience
Electrophysiology
Validation
Brain Simulation
Spikes
Data Analysis
Resource Type Dataset