Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design

• DOI: 10.48550/arxiv.2305.16418
• Publication Date: 2023-01-01
• Authors: Hritom Das; Rocco Febbo; Charlie P. Rizzo; Nishith N. Chakra...; James S. Plank; Garrett S. Rose
• Keywords: Neuromorphic engineering; Memristor; Process Variation

The synapse is a key element of neuromorphic computing in terms efficiency and accuracy. In this paper, an optimized current-controlled memristive circuit proposed. Our proposed demonstrates reliability the face process variation inherent stochastic behavior memristors. Up to 82% energy optimization can be seen during SET operation over prior work. addition, READ shows up 54% savings. approach also provides more reliable programming traditional methods. This design demonstrated with 4-bit memory precision configuration. Using spiking neural network (SNN), application analysis was performed showed improvement control applications 2.7x classification compared other cases.