Work

On the Trustworthiness of Spiking Neural Networks and Neuromorphic Systems

Year: 2025

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

DOI: 10.1109/ets63895.2025.11049613

Authors: Spyrou, Theofilos, Stratigopoulos, Haralampos-G, Alouani, Ihsen, Hamdioui, Said, Gebregiorgis, Anteneh

Institutions: Delft University of Technology, Queen's University Belfast, Centre National de la Recherche Scientifique, Université de Lille, Institut d'Electronique, de Microélectronique et de Nanotechnologie, Université de Valenciennes et du Hainaut-Cambrésis, Université Polytechnique Hauts-de-France, Centrale Lille Institut

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Award: SNS: Self-healing Neuromorphic Systems

OpenAlex ID: W4416054869

FWCI: 4.554

Cites:

Cited by: 2

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