This title appears in the Scientific Report :
2021
Code and data for:Keup et al. (2021) Transient Chaotic Dimensionality Expansion by Recurrent Networks. PRX 11, 021064
Code and data for:Keup et al. (2021) Transient Chaotic Dimensionality Expansion by Recurrent Networks. PRX 11, 021064
Simulation data, python code and figures used in the publicationKeup, Kühn, Dahmen, Helias (2021) Transient chaotic dimensionality expansion by recurrent networks. Physical Review X 11, 021064, doi: 10.1103/PhysRevX.11.021064.Please see README.md for a detailed description and execution instructions...
Saved in:
Personal Name(s): | Keup, Christian (Corresponding author) |
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Kühn, Tobias / Dahmen, David / Helias, Moritz (Last author) | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Imprint: |
2021
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Document Type: |
Software |
Research Program: |
GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration Recurrence and stochasticity for neuro-inspired computation Theory of multi-scale neuronal networks Neuroscientific Foundations Computational Principles Towards an integrated data science of complex natural systems |
Publikationsportal JuSER |
Simulation data, python code and figures used in the publicationKeup, Kühn, Dahmen, Helias (2021) Transient chaotic dimensionality expansion by recurrent networks. Physical Review X 11, 021064, doi: 10.1103/PhysRevX.11.021064.Please see README.md for a detailed description and execution instructions. |