We use cookies to ensure you get the best experience on our website
Startsida Utforska Hjälp News
Registrera dig Logga in

Scheduled service maintenance on November 22

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.

We apologize for any inconvenience.

INM-6
/
network_validation
DOI
10.12751/g-node.85d46c
9
0
Fork 1
Filer

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.

Träd: c7b98a13ab
Grenar Taggar
network_vali...
Michael Denker c7b98a13ab Add 'datacite.yml' 6 år sedan
simulation_code 4db211cb2b adding more description to result generating notebook and the simulation codes 6 år sedan
simulation_data 1fcba709ac replace corrupted spikefile (itIII/SpiNN/after2h) 6 år sedan
spade_analysis a4ec7d91b6 Initial commit adding data, analysis scripts and results 6 år sedan
.gitignore a4ec7d91b6 Initial commit adding data, analysis scripts and results 6 år sedan
LICENSE 4d9d1f917a Updated license 6 år sedan
NetworkUnit_examples.ipynb 1ae424478d added more explanatory comments 6 år sedan
README.md 0cc6810731 Initial commit 6 år sedan
datacite.yml c7b98a13ab Add 'datacite.yml' 6 år sedan
generate_validation_results.ipynb 4db211cb2b adding more description to result generating notebook and the simulation codes 6 år sedan
requirements.txt a4ec7d91b6 Initial commit adding data, analysis scripts and results 6 år sedan

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
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
Trensch,Guido;Simulation Lab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, JARA, Jülich Research Centre, Jülich, Germany
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