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@INPROCEEDINGS{Nestler:892802,
author = {Nestler, Sandra and Keup, Christian and Dahmen, David and
Gilson, Matthieu and Rauhut, Holger and Helias, Moritz},
title = {{U}nfolding recurrence by {G}reen’s functions for
optimized reservoir computing},
reportid = {FZJ-2021-02359},
year = {2021},
abstract = {Cortical networks are strongly recurrent, and neurons have
intrinsic temporal dynamics. This sets them apart from deep
feed-forward networks. Despite the tremendous progress in
the application of feed-forward networks and their
theoretical understanding, it remains unclear how the
interplay of recurrence and non-linearities in recurrent
cortical networks contributes to their function. The purpose
of this work is to present a solvable recurrent network
model that links to feed forward networks. By perturbative
methods we transform the time-continuous,recurrent dynamics
into an effective feed-forward structure of linear and
non-linear temporal kernels. The resulting analytical
expressions allow us to build optimal time-series
classifiers from random reservoir networks. Firstly, this
allows us to optimize not only the readout vectors, but also
the input projection, demonstrating a strong potential
performance gain. Secondly, the analysis exposes how the
second order stimulus statistics is a crucial element that
interacts with the non-linearity of the dynamics and boosts
performance.},
organization = {RNN seminar talk (online), Mortimer B.
Zuckerman Mind Brain Behavior Institute
(USA)},
subtyp = {Invited},
cin = {INM-6 / IAS-6 / INM-10},
cid = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
I:(DE-Juel1)INM-10-20170113},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
Computational Principles (POF4-523) / 5234 - Emerging NC
Architectures (POF4-523) / MSNN - Theory of multi-scale
neuronal networks (HGF-SMHB-2014-2018) / HBP SGA2 - Human
Brain Project Specific Grant Agreement 2 (785907) / HBP SGA3
- Human Brain Project Specific Grant Agreement 3 (945539)},
pid = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
G:(DE-HGF)POF4-5234 / G:(DE-Juel1)HGF-SMHB-2014-2018 /
G:(EU-Grant)785907 / G:(EU-Grant)945539},
typ = {PUB:(DE-HGF)31},
url = {https://juser.fz-juelich.de/record/892802},
}