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Test and Reliability of Emerging Memory-based Spiking Neural Networks


Keywords: Emerging memory, test and reliability, neural networks

Abstract: This PhD thesis will focus on the robustness of hardware implementations of bio-inspired neural networks (Spiking Neural Networks) by using emerging technologies (memristors and/or spintronic devices).
The innovative aspects of this research topic are related to the test and reliability aspects for HW implemented Spiking Neural Networks with on-line, unsupervised learning.


Thesis director: Elena-Ioana VATAJELU (TIMA - AMfoRS)
Thesis started on: Oct. 2020
Doctoral school: EEATS

Submitted on January 7, 2022

Updated on April 10, 2024