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Code and data for:Keup et al. (2021) Transient Chaotic Dimensionality Expansion by Recurrent Networks. PRX 11, 021064
Keup, C. (Corresponding author)FZJ* ; Kühn, T.FZJ* ; Dahmen, D.FZJ* ; Helias, M. (Last author)FZJ*
2021
Abstract: 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.
Note: Supplementary archive of code and data. JUSER entry of the publication: FZJ-2021-02726
Contributing Institute(s):
- Computational and Systems Neuroscience (INM-6)
- Theoretical Neuroscience (IAS-6)
- Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
- 5232 - Computational Principles (POF4-523) (POF4-523)
- 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
- MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
- neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) (EXS-SF-neuroIC002)
- GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) (368482240)
- SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
Appears in the scientific report
2021