Purely Spintronic Leaky Integrate-and-Fire Neurons-Reference-Cited by-同舟云学术

Purely Spintronic Leaky Integrate-and-Fire Neurons

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Brigner Wesley H.¹,Hassan Naimul¹,Hu Xuan¹,Bennett Christopher H.²,Garcia-Sanchez Felipe³,Marinella Matthew J.⁴,Incorvia Jean Anne C.⁵,Friedman Joseph S.¹

Affiliation:

1. University of Texas at Dallas,Electrical and Computer Engineering,Richardson,TX,United States

2. Sandia National Laboratories,Albuquerque,NM,United States

3. University of Salamanca,Department of Applied Physics,Salamanca,Spain

4. Arizona State University,Electrical and Computer Engineering,Tempe,AZ,United States

5. University of Texas at Austin,Electrical and Computer Engineering,Austin,TX,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937890.pdf?arnumber=9937890

Reference17 articles.

1. A logic-in-memory design with 3-terminal magnetic tunnel junction function evaluators for convolutional neural networks

2. A compact skyrmionic leaky–integrate–fire spiking neuron device

3. Magnetic domain wall neuron with lateral inhibition

4. Graded-Anisotropy-Induced Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

5. Shape-Based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

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2. Bulk axial Landau levels in the helically magnetized Weyl Hamiltonian and application to multistate memory devices;Physical Review B;2024-03-29

3. A proposal for leaky integrate-and-fire neurons by domain walls in antiferromagnetic insulators;Scientific Reports;2023-08-17

4. Temperature dependence of magnetic anisotropy and magnetoelasticity from classical spin-lattice calculations;Physical Review B;2023-03-23