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@INPROCEEDINGS{Yegenoglu:912537,
author = {Yegenoglu, Alper},
title = {{O}ptimizing {S}piking {N}eural {N}etworks with {L}2{L} on
{HPC} systems},
reportid = {FZJ-2022-05710},
year = {2022},
abstract = {In my talk I present the optimization of spiking neural
networks (SNN) on HPC system using the L2L framework. I
explain the problems when training SNNs to learn to solve
tasks, then I introduce the concept of learning to learn and
the framework L2L which implements the concept. Furthermore,
I describe how optimization can be applied with L2L on SNNs
and showcase two examples, namely optimizing a spiking
reservoir network to classify digits and a swarm with a
foraging behaviour.},
month = {Dec},
date = {2022-12-08},
organization = {End of year colloquium 2022 at JSC,
Jülich (Germany), 8 Dec 2022 - 8 Dec
2022},
subtyp = {Other},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / HBP SGA2 - Human
Brain Project Specific Grant Agreement 2 (785907) / HBP SGA3
- Human Brain Project Specific Grant Agreement 3 (945539) /
PhD no Grant - Doktorand ohne besondere Förderung
(PHD-NO-GRANT-20170405) / HDS LEE - Helmholtz School for
Data Science in Life, Earth and Energy (HDS LEE)
(HDS-LEE-20190612) / CSD-SSD - Center for Simulation and
Data Science (CSD) - School for Simulation and Data Science
(SSD) (CSD-SSD-20190612) / SLNS - SimLab Neuroscience
(Helmholtz-SLNS) / ICEI - Interactive Computing
E-Infrastructure for the Human Brain Project (800858)},
pid = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)785907 /
G:(EU-Grant)945539 / G:(DE-Juel1)PHD-NO-GRANT-20170405 /
G:(DE-Juel1)HDS-LEE-20190612 / G:(DE-Juel1)CSD-SSD-20190612
/ G:(DE-Juel1)Helmholtz-SLNS / G:(EU-Grant)800858},
typ = {PUB:(DE-HGF)31},
url = {https://juser.fz-juelich.de/record/912537},
}