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@INPROCEEDINGS{Nestler:909342,
author = {Nestler, Sandra and Keup, Christian and Dahmen, David and
Boutaib, Youness and Bartolomaeus, Wiebke and Gilson,
Matthieu and Rauhut, Holger and Helias, Moritz},
title = {{U}nfolding recurrence by {G}reen's functions for optimized
reservoir computing},
reportid = {FZJ-2022-03134},
year = {2022},
month = {Jul},
date = {2022-07-04},
organization = {Les Houches School of Physics, Summer
school on Statistical Physics $\&$
Machine learning, les Houches (France),
4 Jul 2022 - 29 Jul 2022},
subtyp = {After Call},
cin = {INM-6 / INM-10 / IAS-6},
cid = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
I:(DE-Juel1)IAS-6-20130828},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
Computational Principles (POF4-523) / 5234 - Emerging NC
Architectures (POF4-523) / HBP SGA3 - Human Brain Project
Specific Grant Agreement 3 (945539) / Advanced Computing
Architectures $(aca_20190115)$ / RenormalizedFlows -
Transparent Deep Learning with Renormalized Flows
(BMBF-01IS19077A) / neuroIC002 - Recurrence and
stochasticity for neuro-inspired computation
(EXS-SF-neuroIC002) / SDS005 - Towards an integrated data
science of complex natural systems (PF-JARA-SDS005) / MSNN -
Theory of multi-scale neuronal networks
(HGF-SMHB-2014-2018)},
pid = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
G:(DE-HGF)POF4-5234 / G:(EU-Grant)945539 /
$G:(DE-Juel1)aca_20190115$ / G:(DE-Juel-1)BMBF-01IS19077A /
G:(DE-82)EXS-SF-neuroIC002 / G:(DE-Juel-1)PF-JARA-SDS005 /
G:(DE-Juel1)HGF-SMHB-2014-2018},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/909342},
}