Energy-aware spike budgeting for continual learning in spiking neural networks for neuromorphic vision

Neuromorphic vision systems based on spiking neural networks (SNNs) offer event-driven sparse computation for event-based and frame-based cameras, yet catastrophic forgetting remains a critical barrier to deployment in continually evolving environments. Existing continual learning methods, developed...

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Detalles Bibliográficos

Autores principales:	Anika Tabassum Meem, Muntasir Hossain Nadid, Md Zesun Ahmed Mia
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IOP Publishing 2026-01-01
Colección:	Neuromorphic Computing and Engineering
Materias:	spiking neural networks continual learning neuromorphic computing event-based vision spike-rate control
Acceso en línea:	https://doi.org/10.1088/2634-4386/ae8627
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