4 papers
A CMOS+X Spiking Neuron With On-Chip Machine Learning
Steven Louis, Matthew Blake Abramson, Hannah Bradley +8
We present the design and numerical simulation of a spiking neuron in a proof-of-concept model of on-chip machine learning. Built within the CMOS+X framework, the spiking neuron co…
Generation of Ultra-Broadband Frequency Comb in Strongly Bistable Nonlinear Magnonic Resonator
Yu Jiang, Vasyl Tyberkevych, Yizhong Huang +4
Magnonic frequency combs (MFCs) offer a promising route to compact, energy-efficient platforms for on-chip coherent microwave signal generation and processing. Conventional on-chip…
Adaptive Ising machine based on phase-locking of an auto-oscillator to a bi-harmonic external driving with noise
Eleonora Raimondo, Andrea Grimaldi, Vasyl Tyberkevych +6
We introduce a universal theory of phase auto-oscillators driven by a bi harmonic signal (having frequency components close to single and double of the free-running oscillator freq…
Spintronic Neuron Using a Magnetic Tunnel Junction for Low-Power Neuromorphic Computing
Steven Louis, Hannah Bradley, Cody Trevillian +2
This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence…