3 citations · 4 across the 2 of their papers we have counts for
3 papers
Neuromorphic Hebbian learning with magnetic tunnel junction synapses
Peng Zhou, Alexander J. Edwards, Frederick B. Mancoff +3
Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approach…
Near-Landauer Reversible Skyrmion Logic with Voltage-Based Propagation
Benjamin W. Walker, Alexander J. Edwards, Xuan Hu +3
Magnetic skyrmions are topological quasiparticles whose non-volatility, detectability, and mobility make them exciting candidates for low-energy computing. Previous works have demo…
Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses
Peng Zhou, Alexander J. Edwards, Fred B. Mancoff +3
We present the first experimental demonstration of a neuromorphic network with magnetic tunnel junction (MTJ) synapses, which performs image recognition via vector-matrix multiplic…