semantic_scholarProceedings of the International Conference on Neuromorphic Systems2026-08-04
Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems
Sree Nirmillo Biswash Tushar, Sk Hasibul Alam, M. Gonzales, Itamar Lerner, C. Schuman, Garrett S. Rose
TL;DR: A sleep-inspired, replay-driven memory consolidation-based temporal learning framework that reconstructs context from replayed memory during brief sleep periods for temporal context learning in resource-constrained edge systems is proposed.
In edge computing applications, storing long temporal sequences is memory and energy intensive, while sensory data arrives sequentially, requiring online learning. Although online updates reduce storage requirements, they lack access to broader temporal context needed for accurat…