Poster (After Call)

FZJ-2021-01217

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* ; Gilson, M.FZJ* ; Rauhut, H. ; Helias, M.FZJ*

2021

Please use a persistent id in citations: http://hdl.handle.net/2128/28449

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)
3. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. 5232 - Computational Principles (POF4-523) (POF4-523)
3. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
4. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
5. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
6. Advanced Computing Architectures (aca_20190115) (aca_20190115)
7. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
8. neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) (EXS-SF-neuroIC002)
9. SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)

Appears in the scientific report 2021

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Database coverage:

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