http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Unfolding recurrence by Green's functions for optimized reservoir computing
Nestler, S. (Corresponding author)FZJ* ; Keup, C.FZJ* ; Dahmen, D.FZJ* ; Boutaib, Y. ; Bartolomaeus, W. ; Gilson, M. ; Rauhut, H. ; Helias, M.FZJ*
2022
2022Les Houches School of Physics, Summer school on Statistical Physics & Machine learning, Les Houches, les Houchesles Houches, France, 4 Jul 2022 - 29 Jul 20222022-07-042022-07-29
Please use a persistent id in citations: http://hdl.handle.net/2128/32899
Contributing Institute(s):
- Computational and Systems Neuroscience (INM-6)
- Jara-Institut Brain structure-function relationships (INM-10)
- Theoretical Neuroscience (IAS-6)
Research Program(s):
- 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
- 5232 - Computational Principles (POF4-523) (POF4-523)
- 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
- HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
- Advanced Computing Architectures (aca_20190115) (aca_20190115)
- RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
- neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) (EXS-SF-neuroIC002)
- SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
- MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
Appears in the scientific report
2022
Database coverage: