Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses

Autor:	Zhou, Peng, Edwards, Alexander J., Mancoff, Fred B., Houssameddine, Dimitri, Aggarwal, Sanjeev, Friedman, Joseph S.
Rok vydání:	2021
Předmět:	Computer Science - Neural and Evolutionary Computing Condensed Matter - Mesoscale and Nanoscale Physics Computer Science - Emerging Technologies Physics - Applied Physics
Druh dokumentu:	Working Paper
Popis:	We present the first experimental demonstration of a neuromorphic network with magnetic tunnel junction (MTJ) synapses, which performs image recognition via vector-matrix multiplication. We also simulate a large MTJ network performing MNIST handwritten digit recognition, demonstrating that MTJ crossbars can match memristor accuracy while providing increased precision, stability, and endurance.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2112.04749 Zobrazit plný text záznamu View this record from Arxiv