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Three Artificial Spintronic Leaky Integrate-and-Fire Neurons

Journal Article · · SPIN
 [1];  [1];  [1];  [1];  [2];  [3];  [4];  [5];  [2];  [4];  [1]
  1. Univ. of Texas at Dallas, Richardson, TX (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Istituto Nazionale di Ricerca Metrologica, Torino (Italy); Universidad de Salamanca (Spain)
  4. Univ. of Texas, Austin, TX (United States)
  5. Istituto Nazionale di Ricerca Metrologica, Torino (Italy)

We report that due to their non-volatility 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 an 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.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1618070
Report Number(s):
SAND--2019-15415J; 682016
Journal Information:
SPIN, Journal Name: SPIN Journal Issue: 2 Vol. 10; ISSN 2010-3247
Publisher:
World ScientiicCopyright Statement
Country of Publication:
United States
Language:
English

References (29)

SpikeNET: A simulator for modeling large networks of integrate and fire neurons journal June 1999
FeCoHfN thin films fabricated by co-sputtering with high resonance frequency journal March 2011
Electric Field-Induced Creation and Directional Motion of Domain Walls and Skyrmion Bubbles journal December 2018
The missing memristor found journal May 2008
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing journal February 2017
Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses journal September 2016
A compact skyrmionic leaky–integrate–fire spiking neuron device journal January 2018
Ultrahigh-frequency ferromagnetic properties of FeCoHf films deposited by gradient sputtering journal March 2008
The design and verification of MuMax3 journal October 2014
Magnetic domain wall neuron with lateral inhibition journal October 2018
Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity journal September 2019
Magnetic skyrmion-based synaptic devices journal January 2017
Magnetic skyrmion-based artificial neuron device journal July 2017
Spintronic logic circuit and device prototypes utilizing domain walls in ferromagnetic wires with tunnel junction readout conference December 2015
Power Consumption During Neuronal Computation journal May 2014
Heterogeneity and Efficiency in the Brain journal August 2015
Graded-Anisotropy-Induced Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron journal June 2019
Low Energy Magnetic Domain Wall Logic in Short, Narrow, Ferromagnetic Wires journal January 2012
A logic-in-memory design with 3-terminal magnetic tunnel junction function evaluators for convolutional neural networks conference July 2017
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip journal October 2015
Compact Modeling of Perpendicular-Anisotropy CoFeB/MgO Magnetic Tunnel Junctions journal March 2012
Complementary Magnetic Tunnel Junction Logic journal April 2014
SPICE-Only Model for Spin-Transfer Torque Domain Wall MTJ Logic journal June 2019
Shape-Based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron journal November 2019
Soft Magnetic Properties of Obliquely Deposited Co–Zr–O Films journal December 2007
Energy-Efficient Non-Boolean Computing With Spin Neurons and Resistive Memory journal January 2014
Semi-supervised learning and inference in domain-wall magnetic tunnel junction (DW-MTJ) neural networks conference September 2019
A million spiking-neuron integrated circuit with a scalable communication network and interface journal August 2014
Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches conference January 2012