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Gradient-based feature-attribution explainability methods for spiking neural networks

INTRODUCTION: Spiking neural networks (SNNs) are a model of computation that mimics the behavior of biological neurons. SNNs process event data (spikes) and operate more sparsely than artificial neural networks (ANNs), resulting in ultra-low latency and small power consumption. This paper aims to ad...

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Detalles Bibliográficos
Autores principales: Bitar, Ammar, Rosales, Rafael, Paulitsch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565802/
https://www.ncbi.nlm.nih.gov/pubmed/37829721
http://dx.doi.org/10.3389/fnins.2023.1153999