Preprint
Aug 2026
A Heterogeneous General Model for Neuromorphic-Inspired Computation
In recent years, both academia and industry have focused on the development of computational architectures inspired by the distributed, adaptive, and event-driven characteristics of biological neural systems, with the aim of reducing the computational cost associated with conventional training approaches [1]. However,...
M. Mirigliano
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