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Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors

;

In
npj unconventional computing 1, Seiten/Artikel-Nr.:2

ImpressumLondon : Nature Publishing Group UK

Umfang1-15

ISSN3004-8672

Online
DOI: 10.1038/s44335-024-00002-4

DOI: 10.18154/RWTH-2024-07079
URL: https://publications.rwth-aachen.de/record/990017/files/990017.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Allgemeine Mechanik (411110)


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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Interne Identnummern
RWTH-2024-07079
Datensatz-ID: 990017

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess
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411110
 Record created 2024-07-30, last modified 2025-03-05
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