Robin Gutzen
4db211cb2b
adding more description to result generating notebook and the simulation codes
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6 年之前 | |
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| .. | ||
| C_model | 6 年之前 | |
| Evaluate_ODE_solver_implementations | 6 年之前 | |
| SpiNNaker_model | 6 年之前 | |
| LICENSE | 6 年之前 | |
| README.md | 6 年之前 | |
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 
| datacite.yml | |
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| 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 |
