16 citations · 40 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
Passive frustrated nanomagnet reservoir computing
Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou +10
Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could…
Reservoir Computing with Planar Nanomagnet Arrays
Peng Zhou, Nathan R. McDonald, Alexander J. Edwards +3
Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained…