Poster (After Call) FZJ-2022-03134

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Unfolding recurrence by Green's functions for optimized reservoir computing

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2022

Les 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

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Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Jara-Institut Brain structure-function relationships (INM-10)
  3. Theoretical Neuroscience (IAS-6)
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. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
  5. Advanced Computing Architectures (aca_20190115) (aca_20190115)
  6. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
  7. neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) (EXS-SF-neuroIC002)
  8. SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
  9. MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)

Appears in the scientific report 2022
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Institute Collections > INM > INM-10
Document types > Presentations > Poster
Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
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 Record created 2022-08-26, last modified 2024-03-13


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