A brain-plausible neuromorphic on-the-fly learning system implemented with magnetic domain wall analog memristors

Yue, Kun; Liu, Yizhou; Lake, Roger K.; Parker, Alice C.

doi:10.1126/sciadv.aau8170

Title: A brain-plausible neuromorphic on-the-fly learning system implemented with magnetic domain wall analog memristors

Journal Article · Fri Apr 26 00:00:00 EDT 2019 · Science Advances

DOI:https://doi.org/10.1126/sciadv.aau8170· OSTI ID:1611922

Yue, Kun ^[1]; Liu, Yizhou ^[2];

^[2];

^[1]

Univ. of Southern California, Los Angeles, CA (United States)
Univ. of California, Riverside, CA (United States)

Neuromorphic computing is an approach to efficiently solve complicated learning and cognition problems like the human brain using electronics. To efficiently implement the functionality of biological neurons, nanodevices and their implementations in circuits are exploited. Here, we describe a general-purpose spiking neuromorphic system that can solve on-the-fly learning problems, based on magnetic domain wall analog memristors (MAMs) that exhibit many different states with persistence over the lifetime of the device. The research includes micromagnetic and SPICE modeling of the MAM, CMOS neuromorphic analog circuit design of synapses incorporating the MAM, and the design of hybrid CMOS/MAM spiking neuronal networks in which the MAM provides variable synapse strength with persistence. Using this neuronal neuromorphic system, simulations show that the MAM-boosted neuromorphic system can achieve persistence, can demonstrate deterministic fast on-the-fly learning with the potential for reduced circuitry complexity, and can provide increased capabilities over an all-CMOS implementation.

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Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Spins and Heat in Nanoscale Electronic Systems (SHINES); Univ. of California, Riverside, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0012670

OSTI ID:: 1611922

Journal Information:: Science Advances, Vol. 5, Issue 4; ISSN 2375-2548

Publisher:: AAASCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 42 works

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References (44)

Giant tunnelling magnetoresistance at room temperature with MgO (100) tunnel barriers Parkin, Stuart S. P.; Kaiser, Christian; Panchula, Alex Nature Materials, Vol. 3, Issue 12 https://doi.org/10.1038/nmat1256	journal	October 2004
Neuromorphic computing with nanoscale spintronic oscillators Torrejon, Jacob; Riou, Mathieu; Araujo, Flavio Abreu Nature, Vol. 547, Issue 7664 https://doi.org/10.1038/nature23011	journal	July 2017
Spintronic Memristor Through Spin-Torque-Induced Magnetization Motion IEEE Electron Device Letters, Vol. 30, Issue 3 https://doi.org/10.1109/LED.2008.2012270	journal	March 2009
Giant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions Yuasa, Shinji; Nagahama, Taro; Fukushima, Akio Nature Materials, Vol. 3, Issue 12 https://doi.org/10.1038/nmat1257	journal	October 2004
Noisy neuromorphic neurons with RPG on-chip noise source Yue, Kun; Parker, Alice C. 2017 International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN.2017.7965992	conference	May 2017
The design and verification of MuMax3 Vansteenkiste, Arne; Leliaert, Jonathan; Dvornik, Mykola AIP Advances, Vol. 4, Issue 10 https://doi.org/10.1063/1.4899186	journal	October 2014
Unsupervised learning of digit recognition using spike-timing-dependent plasticity Diehl, Peter U.; Cook, Matthew Frontiers in Computational Neuroscience, Vol. 9 https://doi.org/10.3389/fncom.2015.00099	journal	August 2015
STDP and STDP variations with memristors for spiking neuromorphic learning systems Serrano-Gotarredona, T.; Masquelier, T.; Prodromakis, T. Frontiers in Neuroscience, Vol. 7 https://doi.org/10.3389/fnins.2013.00002	journal	January 2013
A million spiking-neuron integrated circuit with a scalable communication network and interface Merolla, P. A.; Arthur, J. V.; Alvarez-Icaza, R. Science, Vol. 345, Issue 6197 https://doi.org/10.1126/science.1254642	journal	August 2014
A magnetic synapse: multilevel spin-torque memristor with perpendicular anisotropy Lequeux, Steven; Sampaio, Joao; Cros, Vincent Scientific Reports, Vol. 6, Issue 1 https://doi.org/10.1038/srep31510	journal	August 2016
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning Davies, Mike; Srinivasa, Narayan; Lin, Tsung-Han IEEE Micro, Vol. 38, Issue 1 https://doi.org/10.1109/MM.2018.112130359	journal	January 2018
Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture Bichler, Olivier; Suri, Manan; Querlioz, Damien IEEE Transactions on Electron Devices, Vol. 59, Issue 8 https://doi.org/10.1109/TED.2012.2197951	journal	August 2012
Towards All-Soft Matter Circuits: Prototypes of Quasi-Liquid Devices with Memristor Characteristics Koo, Hyung-Jun; So, Ju-Hee; Dickey, Michael D. Advanced Materials, Vol. 23, Issue 31 https://doi.org/10.1002/adma.201101257	journal	July 2011
Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning Srinivasan, Gopalakrishnan; Sengupta, Abhronil; Roy, Kaushik Scientific Reports, Vol. 6, Issue 1 https://doi.org/10.1038/srep29545	journal	July 2016
Spin torque nanodevices for bio-inspired computing Locatelli, N.; Mizrahi, A.; Accioly, A. 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) https://doi.org/10.1109/CNNA.2014.6888659	conference	July 2014
On neuromorphic spiking architectures for asynchronous STDP memristive systems Perez-Carrasc, J. A.; Zamarreno-Ramos, C.; Serrano-Gotarredona, T. 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems https://doi.org/10.1109/ISCAS.2010.5537484	conference	May 2010
A 4-Mb toggle MRAM based on a novel bit and switching method Engel, B. N.; Akerman, J.; Butcher, B. IEEE Transactions on Magnetics, Vol. 41, Issue 1 https://doi.org/10.1109/TMAG.2004.840847	journal	January 2005
Memristors Empower Spiking Neurons With Stochasticity Al-Shedivat, Maruan; Naous, Rawan; Cauwenberghs, Gert IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 5, Issue 2 https://doi.org/10.1109/JETCAS.2015.2435512	journal	June 2015
Spin-torque building blocks Locatelli, N.; Cros, V.; Grollier, J. Nature Materials, Vol. 13, Issue 1 https://doi.org/10.1038/nmat3823	journal	December 2013
Ultralow-Voltage Spin-Transfer Switching in Perpendicularly Magnetized Magnetic Tunnel Junctions with Synthetic Antiferromagnetic Reference Layer Yakushiji, Kay; Fukushima, Akio; Kubota, Hitoshi Applied Physics Express, Vol. 6, Issue 11 https://doi.org/10.7567/APEX.6.113006	journal	November 2013
Noisy neuromorphic circuit modeling Obsessive Compulsive Disorder Barzegarjalali, Saeid; Yue, Kun; Parker, Alice C. 2016 29th IEEE International System-on-Chip Conference (SOCC) https://doi.org/10.1109/SOCC.2016.7905502	conference	September 2016
Room-temperature high spin–orbit torque due to quantum confinement in sputtered BixSe(1–x) films Dc, Mahendra; Grassi, Roberto; Chen, Jun-Yang Nature Materials, Vol. 17, Issue 9 https://doi.org/10.1038/s41563-018-0136-z	journal	July 2018
A conductive topological insulator with large spin Hall effect for ultralow power spin–orbit torque switching Khang, Nguyen Huynh Duy; Ueda, Yugo; Hai, Pham Nam Nature Materials, Vol. 17, Issue 9 https://doi.org/10.1038/s41563-018-0137-y	journal	July 2018
Magnetization dynamics and its scattering mechanism in thin CoFeB films with interfacial anisotropy Okada, Atsushi; He, Shikun; Gu, Bo Proceedings of the National Academy of Sciences, Vol. 114, Issue 15 https://doi.org/10.1073/pnas.1613864114	journal	March 2017
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs Markram, H. Science, Vol. 275, Issue 5297 https://doi.org/10.1126/science.275.5297.213	journal	January 1997
NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning Kim, S.; Ishii, M.; Lewis, S. 2015 IEEE International Electron Devices Meeting (IEDM) https://doi.org/10.1109/IEDM.2015.7409716	conference	December 2015
Magnetic Domain-Wall Racetrack Memory Parkin, S. S. P.; Hayashi, M.; Thomas, L. Science, Vol. 320, Issue 5873, p. 190-194 https://doi.org/10.1126/science.1145799	journal	April 2008
Neuromorphic Silicon Neuron Circuits Indiveri, Giacomo; Linares-Barranco, Bernabé; Hamilton, Tara Julia Frontiers in Neuroscience, Vol. 5 https://doi.org/10.3389/fnins.2011.00073	journal	January 2011
Magnetic Pattern Recognition Using Injection-Locked Spin-Torque Nano-Oscillators Yogendra, Karthik; Fan, Deliang; Jung, Byunghoo IEEE Transactions on Electron Devices, Vol. 63, Issue 4 https://doi.org/10.1109/TED.2016.2523423	journal	April 2016
New Generation of Predictive Technology Model for Sub-45 nm Early Design Exploration Zhao, W.; Cao, Y. IEEE Transactions on Electron Devices, Vol. 53, Issue 11 https://doi.org/10.1109/TED.2006.884077	journal	November 2006
Integration of nanoscale memristor synapses in neuromorphic computing architectures Indiveri, Giacomo; Linares-Barranco, Bernabé; Legenstein, Robert Nanotechnology, Vol. 24, Issue 38 https://doi.org/10.1088/0957-4484/24/38/384010	journal	September 2013
Energy-efficient Mott activation neuron for full-hardware implementation of neural networks Oh, Sangheon; Shi, Yuhan; del Valle, Javier Nature Nanotechnology, Vol. 16, Issue 6 https://doi.org/10.1038/s41565-021-00874-8	journal	March 2021
Neuromorphic silicon neuron circuits Indiveri, Giacomo; Linares-Barranco, Bernabé; Hamilton, Tara J. ETH Zurich https://doi.org/10.3929/ethz-b-000045428	text	January 2011
STDP and STDP variations with memristors for spiking neuromorphic learning systems Serrano-Gotarredona, Teresa; Masquelier, Timothée; Prodromakis, Themistoklis Frontiers Research Foundation https://doi.org/10.5167/uzh-91187	text	January 2013
STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems Serrano-Gotarredona, Teresa; Masquelier, Timothée; Prodromakis, Themistoklis ETH Zurich https://doi.org/10.3929/ethz-b-000079001	text	January 2013
Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity Diehl, Peter U.; Cook, Matthew ETH Zurich https://doi.org/10.3929/ethz-b-000097347	text	January 2015
Neuromorphic Silicon Neuron Circuits Boahen, K.; Wang, Y.; Wijekoon, J. Frontiers Research Foundation https://doi.org/10.5167/uzh-61188	text	January 2011
Unsupervised learning of digit recognition using spike-timing-dependent plasticity Diehl, P. U.; Cook, M. Institute of Electrical and Electronics Engineers https://doi.org/10.5167/uzh-107763	text	January 2015
Unsupervised learning of digit recognition using spike-timing-dependent plasticity Diehl, Peter U.; Cook, Matthew Frontiers Research Foundation https://doi.org/10.5167/uzh-121701	text	January 2015
Spin torque building blocks Locatelli, Nicolas; Cros, Vincent; Grollier, Julie arXiv https://doi.org/10.48550/arxiv.1401.0874	text	January 2014
Magnetization dynamics and its scattering mechanism in thin CoFeB films with interfacial anisotropy Okada, Atsushi; He, Shikun; Gu, Bo arXiv https://doi.org/10.48550/arxiv.1705.06624	text	January 2017
Switching by topological insulators Pai, Chi-Feng Nature Materials, Vol. 17, Issue 9 https://doi.org/10.1038/s41563-018-0146-x	journal	July 2018
Spike Timing Dependent Plasticity (STDP) can Ameliorate Process Variations in Neuromorphic VLSI Cameron, K.; Boonsobhak, V.; Murray, A. IEEE Transactions on Neural Networks, Vol. 16, Issue 6 https://doi.org/10.1109/tnn.2005.852238	journal	November 2005
The Year of the Dendrite Sejnowski, Terrence J. Science, Vol. 275, Issue 5297 https://doi.org/10.1126/science.275.5297.178	journal	January 1997

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