Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards more efficient approaches. Neuromorphic Continual Learning (NCL) appears as an emerging solution, by leveraging...

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Bibliographic Details
Main Authors: Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Continual Learning (CL)
Neuromorphic Computing
Spiking Neural Networks (SNNs)
Neuromorphic Continual Learning (NCL)
Event-based Processing
Energy Efficiency
Online Access:https://ieeexplore.ieee.org/document/11079552/
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