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On Friday, November 22, 2024, between 06:00 CET and 18:00 CET, GIN services will undergo planned maintenance. Extended service interruptions should be expected. We will try to keep downtimes to a minimum, but recommend that users avoid critical tasks, large data uploads, or DOI requests during this time.

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INM-6
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network_validation
DOI
10.12751/g-node.85d46c
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Forka 1
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Albero (Tree): 3064a444a6
Rami (Branch) Tag
network_vali...
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simulation_code
Robin Gutzen 4db211cb2b adding more description to result generating notebook and the simulation codes 6 anni fa
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C_model 3df4f1095b add simulation codes from github.com/gtrensch/RigorousNeuralNetworkSimulations 6 anni fa
Evaluate_ODE_solver_implementations 4db211cb2b adding more description to result generating notebook and the simulation codes 6 anni fa
SpiNNaker_model 4db211cb2b adding more description to result generating notebook and the simulation codes 6 anni fa
LICENSE 4db211cb2b adding more description to result generating notebook and the simulation codes 6 anni fa
README.md 4db211cb2b adding more description to result generating notebook and the simulation codes 6 anni fa

README.md

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 et al. Reproducible neural network simulations: statistical methods for model validation on the level of network activity data. [] (IsSupplementTo)
Trensch et al. Rigorous neural network simulations: a model substantiation methodology for increasing the correctness of simulation results in the absence of experimental validation data [] (IsDocumentedBy)
Funding Helmholtz, ZT-I-0003
EU, EU.720270
EU, EU.785907
Keywords Neuroscience
Electrophysiology
Validation
Brain Simulation
Spikes
Data Analysis
Resource Type Dataset