Three Artificial Spintronic Leaky Integrate-and-Fire Neurons

Wesley H. Brigner, Xuan Hu, Naimul Hassan, Lucian Jiang-Wei, Christopher H. Bennett, Felipe Garcia-Sanchez, Otitoaleke Akinola, Massimo Pasquale, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Due to their nonvolatility and intrinsic current integration capabilities, spintronic devices that rely on domain wall (DW) motion through a free ferromagnetic track have garnered significant interest in the field of neuromorphic computing. Although a number of such devices have already been proposed, they require the use of external circuitry to implement several important neuronal behaviors. As such, they are likely to result in either a decrease in energy efficiency, an increase in fabrication complexity, or even both. To resolve this issue, we have proposed three individual neurons that are capable of performing these functionalities without the use of any external circuitry. To implement leaking, the first neuron uses a dipolar coupling field, the second uses an anisotropy gradient and the third uses shape variations of the DW track.

Original languageEnglish (US)
Article number20400032
JournalSPIN
Volume10
Issue number2
DOIs
StatePublished - Jun 1 2020
Externally publishedYes

Keywords

  • Artificial neuron
  • leaky integrate-and-fire (LIF) neuron
  • magnetic domain wall (DW)
  • neural network crossbar
  • neuromorphic computing
  • three-terminal magnetic tunnel junction (3T-MTJ)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Three Artificial Spintronic Leaky Integrate-and-Fire Neurons'. Together they form a unique fingerprint.

Cite this