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INM-6
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network_validation
DOI
10.12751/g-node.85d46c
9
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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.

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network_vali...
mvonpapen 3064a444a6 handling exp data download 6 years ago
simulation_code 4db211cb2b adding more description to result generating notebook and the simulation codes 6 years ago
simulation_data 1fcba709ac replace corrupted spikefile (itIII/SpiNN/after2h) 6 years ago
spade_analysis a4ec7d91b6 Initial commit adding data, analysis scripts and results 6 years ago
.gitignore a4ec7d91b6 Initial commit adding data, analysis scripts and results 6 years ago
LICENSE 4d9d1f917a Updated license 6 years ago
NetworkUnit_examples.ipynb 3064a444a6 handling exp data download 6 years ago
README.md 0cc6810731 Initial commit 6 years ago
datacite.yml e5f5a9899e Added missing orcid's to datacite.yml 6 years ago
generate_validation_results.ipynb 4db211cb2b adding more description to result generating notebook and the simulation codes 6 years ago
requirements.txt 34d167b0b6 notebook ready for Python3, requires numpy==1.15.3 6 years ago

README.md

network_validation

Simulation data (implementations in C and on the SpiNNaker neuromorphic architecture) and a Jupyter notebook replicating the results presented in submitted manuscripts Trensch et al. and Gutzen et al, using the NetworkUnit package.

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