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Title: Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity

Abstract

There have been recent efforts towards the development of biologically-inspired neuromorphic devices and architecture. In this work, we demonstrate a synapse circuit that is designed to perform spike-timing-dependent plasticity which works with the leaky, integrate, and fire neuron in a neuromorphic computing architecture. The circuit consists of a three-terminal magnetic tunnel junction with a mobile domain wall between two low-pass filters and has been modeled in SPICE. The findings show that the current flowing through the synapse is highly correlated to the timing delay between the pre-synaptic and post-synaptic neurons. Using micromagnetic simulations, we show that introducing notches along the length of the domain wall track pins the domain wall at each successive notch to properly respond to the timing between the input and output current pulses of the circuit, producing a multi-state resistance representing synaptic weights. We show in SPICE that a notch-free ideal magnetic device also shows spike-timing dependent plasticity in response to the circuit current. This work is key progress towards making more bio-realistic artificial synapses with multiple weights, which can be trained online with a promise of CMOS compatibility and energy efficiency.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [3]; ORCiD logo [2]; ORCiD logo [1]
  1. Univ. of Texas, Austin, TX (United States)
  2. Univ. of Texas at Dallas, Richardson, TX (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1574455
Report Number(s):
SAND-2019-12134J
Journal ID: ISSN 0022-3727; 680164
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. D, Applied Physics
Additional Journal Information:
Journal Volume: 52; Journal Issue: 49; Journal ID: ISSN 0022-3727
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Synapse; neuromorphic; magnetic tunnel junction; plasticity; domain wall

Citation Formats

Akinola, Otitoaleke, Hu, Xuan, Bennett, Christopher H., Marinella, Matthew, Friedman, Joseph S., and Incorvia, Jean Anne C. Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity. United States: N. p., 2019. Web. doi:10.1088/1361-6463/ab4157.
Akinola, Otitoaleke, Hu, Xuan, Bennett, Christopher H., Marinella, Matthew, Friedman, Joseph S., & Incorvia, Jean Anne C. Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity. United States. doi:10.1088/1361-6463/ab4157.
Akinola, Otitoaleke, Hu, Xuan, Bennett, Christopher H., Marinella, Matthew, Friedman, Joseph S., and Incorvia, Jean Anne C. Mon . "Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity". United States. doi:10.1088/1361-6463/ab4157.
@article{osti_1574455,
title = {Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity},
author = {Akinola, Otitoaleke and Hu, Xuan and Bennett, Christopher H. and Marinella, Matthew and Friedman, Joseph S. and Incorvia, Jean Anne C.},
abstractNote = {There have been recent efforts towards the development of biologically-inspired neuromorphic devices and architecture. In this work, we demonstrate a synapse circuit that is designed to perform spike-timing-dependent plasticity which works with the leaky, integrate, and fire neuron in a neuromorphic computing architecture. The circuit consists of a three-terminal magnetic tunnel junction with a mobile domain wall between two low-pass filters and has been modeled in SPICE. The findings show that the current flowing through the synapse is highly correlated to the timing delay between the pre-synaptic and post-synaptic neurons. Using micromagnetic simulations, we show that introducing notches along the length of the domain wall track pins the domain wall at each successive notch to properly respond to the timing between the input and output current pulses of the circuit, producing a multi-state resistance representing synaptic weights. We show in SPICE that a notch-free ideal magnetic device also shows spike-timing dependent plasticity in response to the circuit current. This work is key progress towards making more bio-realistic artificial synapses with multiple weights, which can be trained online with a promise of CMOS compatibility and energy efficiency.},
doi = {10.1088/1361-6463/ab4157},
journal = {Journal of Physics. D, Applied Physics},
number = 49,
volume = 52,
place = {United States},
year = {2019},
month = {9}
}

Journal Article:
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