Collective dynamics and long-range order in thermal neuristor networks

Zhang, Yuan-Hang; Sipling, Chesson; Qiu, Erbin; Schuller, Ivan K.; Di Ventra, Massimiliano

doi:10.1038/s41467-024-51254-4

Title: Collective dynamics and long-range order in thermal neuristor networks

Journal Article · 14 August 2024 · Nature Communications

DOI: https://doi.org/10.1038/s41467-024-51254-4 · OSTI ID:2429636

;

; Qiu, Erbin;

;

Abstract In the pursuit of scalable and energy-efficient neuromorphic devices, recent research has unveiled a novel category of spiking oscillators, termed “thermal neuristors.” These devices function via thermal interactions among neighboring vanadium dioxide resistive memories, emulating biological neuronal behavior. Here, we show that the collective dynamical behavior of networks of these neurons showcases a rich phase structure, tunable by adjusting the thermal coupling and input voltage. Notably, we identify phases exhibiting long-range order that, however, does not arise from criticality, but rather from the time non-local response of the system. In addition, we show that these thermal neuristor arrays achieve high accuracy in image recognition and time series prediction through reservoir computing, without leveraging long-range order. Our findings highlight a crucial aspect of neuromorphic computing with possible implications on the functioning of the brain: criticality may not be necessary for the efficient performance of neuromorphic systems in certain computational tasks.

View Journal Article

Cite

Export

Save

Research Organization:: Univ. of California, San Diego, CA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: SC0020892

OSTI ID:: 2429636

Journal Information:: Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 15; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (40)

Reconfigurable Cascaded Thermal Neuristors for Neuromorphic Computing Qiu, Erbin; Zhang, Yuan‐Hang; Ventra, Massimiliano Di Advanced Materials, Vol. 36, Issue 6 https://doi.org/10.1002/adma.202306818	journal	December 2023
Information processing in echo state networks at the edge of chaos Boedecker, Joschka; Obst, Oliver; Lizier, Joseph T. Theory in Biosciences, Vol. 131, Issue 3 https://doi.org/10.1007/s12064-011-0146-8	journal	December 2011
Networks of spiking neurons: The third generation of neural network models Maass, Wolfgang Neural Networks, Vol. 10, Issue 9 https://doi.org/10.1016/S0893-6080(97)00011-7	journal	December 1997
Deep learning in spiking neural networks Tavanaei, Amirhossein; Ghodrati, Masoud; Kheradpisheh, Saeed Reza Neural Networks, Vol. 111 https://doi.org/10.1016/j.neunet.2018.12.002	journal	March 2019
Recent advances in physical reservoir computing: A review Tanaka, Gouhei; Yamane, Toshiyuki; Héroux, Jean Benoit Neural Networks, Vol. 115 https://doi.org/10.1016/j.neunet.2019.03.005	journal	July 2019
How critical is brain criticality? O’Byrne, Jordan; Jerbi, Karim Trends in Neurosciences, Vol. 45, Issue 11 https://doi.org/10.1016/j.tins.2022.08.007	journal	November 2022
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing van de Burgt, Yoeri; Lubberman, Ewout; Fuller, Elliot J. Nature Materials, Vol. 16, Issue 4 https://doi.org/10.1038/nmat4856	journal	February 2017
Emergent complex neural dynamics Chialvo, Dante R. Nature Physics, Vol. 6, Issue 10 https://doi.org/10.1038/nphys1803	journal	October 2010
Biological plausibility and stochasticity in scalable VO2 active memristor neurons Yi, Wei; Tsang, Kenneth K.; Lam, Stephen K. Nature Communications, Vol. 9, Issue 1 https://doi.org/10.1038/s41467-018-07052-w	journal	November 2018
Control of criticality and computation in spiking neuromorphic networks with plasticity Cramer, Benjamin; Stöckel, David; Kreft, Markus Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-16548-3	journal	June 2020
A calibratable sensory neuron based on epitaxial VO2 for spike-based neuromorphic multisensory system Yuan, Rui; Duan, Qingxi; Tiw, Pek Jun Nature Communications, Vol. 13, Issue 1 https://doi.org/10.1038/s41467-022-31747-w	journal	July 2022
Photonics for artificial intelligence and neuromorphic computing Shastri, Bhavin J.; Tait, Alexander N.; Ferreira de Lima, T. Nature Photonics, Vol. 15, Issue 2 https://doi.org/10.1038/s41566-020-00754-y	journal	January 2021
Neuromorphic spintronics Grollier, J.; Querlioz, D.; Camsari, K. Y. Nature Electronics, Vol. 3, Issue 7 https://doi.org/10.1038/s41928-019-0360-9	journal	March 2020
Physics for neuromorphic computing Marković, Danijela; Mizrahi, Alice; Querlioz, Damien Nature Reviews Physics, Vol. 2, Issue 9 https://doi.org/10.1038/s42254-020-0208-2	journal	July 2020
Opportunities for neuromorphic computing algorithms and applications Schuman, Catherine D.; Kulkarni, Shruti R.; Parsa, Maryam Nature Computational Science, Vol. 2, Issue 1 https://doi.org/10.1038/s43588-021-00184-y	journal	January 2022
Phase transitions and self-organized criticality in networks of stochastic spiking neurons Brochini, Ludmila; de Andrade Costa, Ariadne; Abadi, Miguel Scientific Reports, Vol. 6, Issue 1 https://doi.org/10.1038/srep35831	journal	November 2016
Challenges in materials and devices for resistive-switching-based neuromorphic computing del Valle, Javier; Ramírez, Juan Gabriel; Rozenberg, Marcelo J. Journal of Applied Physics, Vol. 124, Issue 21 https://doi.org/10.1063/1.5047800	journal	December 2018
Stochastic transition in synchronized spiking nanooscillators Qiu, Erbin; Salev, Pavel; Torres, Felipe Proceedings of the National Academy of Sciences, Vol. 120, Issue 38 https://doi.org/10.1073/pnas.2303765120	journal	September 2023
Self-organization without conservation: true or just apparent scale-invariance? Bonachela, Juan A.; Muñoz, Miguel A. Journal of Statistical Mechanics: Theory and Experiment, Vol. 2009, Issue 09 https://doi.org/10.1088/1742-5468/2009/09/P09009	journal	September 2009
Reservoir computing using high order synchronization of coupled oscillators Velichko, A. A.; Ryabokon, D. V.; Khanin, S. D. IOP Conference Series: Materials Science and Engineering, Vol. 862, Issue 5 https://doi.org/10.1088/1757-899X/862/5/052062	journal	May 2020
On optimal and data-based histograms Scott, David W. Biometrika, Vol. 66, Issue 3 https://doi.org/10.1093/biomet/66.3.605	journal	January 1979
An in-depth numerical study of the two-dimensional Kuramoto–Sivashinsky equation Kalogirou, A.; Keaveny, E. E.; Papageorgiou, D. T. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 471, Issue 2179 https://doi.org/10.1098/rspa.2014.0932	journal	July 2015
Metal-insulator transition in vanadium dioxide Zylbersztejn, A.; Mott, N. F. Physical Review B, Vol. 11, Issue 11, p. 4383-4395 https://doi.org/10.1103/PhysRevB.11.4383	journal	June 1975
Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm Hoshen, J.; Kopelman, R. Physical Review B, Vol. 14, Issue 8 https://doi.org/10.1103/PhysRevB.14.3438	journal	October 1976
Hysteresis, neural avalanches, and critical behavior near a first-order transition of a spiking neural network Scarpetta, Silvia; Apicella, Ilenia; Minati, Ludovico Physical Review E, Vol. 97, Issue 6 https://doi.org/10.1103/PhysRevE.97.062305	journal	June 2018
Scaling Theory for Finite-Size Effects in the Critical Region Fisher, Michael E.; Barber, Michael N. Physical Review Letters, Vol. 28, Issue 23 https://doi.org/10.1103/PhysRevLett.28.1516	journal	June 1972
Self-organized criticality: An explanation of the 1/ f noise Bak, Per; Tang, Chao; Wiesenfeld, Kurt Physical Review Letters, Vol. 59, Issue 4 https://doi.org/10.1103/PhysRevLett.59.381	journal	July 1987
Self-organized criticality in a continuous, nonconservative cellular automaton modeling earthquakes Olami, Zeev; Feder, Hans Jacob S.; Christensen, Kim Physical Review Letters, Vol. 68, Issue 8 https://doi.org/10.1103/PhysRevLett.68.1244	journal	February 1992
Self-organized critical forest-fire model Drossel, B.; Schwabl, F. Physical Review Letters, Vol. 69, Issue 11 https://doi.org/10.1103/PhysRevLett.69.1629	journal	September 1992
Landau-Ginzburg Theory of Self-Organized Criticality Gil, L.; Sornette, D. Physical Review Letters, Vol. 76, Issue 21 https://doi.org/10.1103/PhysRevLett.76.3991	journal	May 1996
Self-Organized Criticality in the Olami-Feder-Christensen Model de Carvalho, Josué X.; Prado, Carmen P. C. Physical Review Letters, Vol. 84, Issue 17 https://doi.org/10.1103/PhysRevLett.84.4006	journal	April 2000
Neuromorphic electronic systems Mead, C. Proceedings of the IEEE, Vol. 78, Issue 10 https://doi.org/10.1109/5.58356	journal	January 1990
Modeling of the hysteretic metal-insulator transition in a vanadium dioxide infrared detector Deep, Gurdip Singh Optical Engineering, Vol. 41, Issue 10 https://doi.org/10.1117/1.1501095	journal	October 2002
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule Caporale, Natalia; Dan, Yang Annual Review of Neuroscience, Vol. 31, Issue 1 https://doi.org/10.1146/annurev.neuro.31.060407.125639	journal	July 2008
Critical branching processes in digital memcomputing machines Bearden, S. R. B.; Sheldon, F.; Di Ventra, M. EPL (Europhysics Letters), Vol. 127, Issue 3 https://doi.org/10.1209/0295-5075/127/30005	journal	September 2019
Can a time varying external drive give rise to apparent criticality in neural systems? Priesemann, Viola; Shriki, Oren PLOS Computational Biology, Vol. 14, Issue 5 https://doi.org/10.1371/journal.pcbi.1006081	journal	May 2018
Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network Del Papa, Bruno; Priesemann, Viola; Triesch, Jochen PLOS ONE, Vol. 12, Issue 5 https://doi.org/10.1371/journal.pone.0178683	journal	May 2017
Neuronal Avalanches in Neocortical Circuits Beggs, John M.; Plenz, Dietmar The Journal of Neuroscience, Vol. 23, Issue 35 https://doi.org/10.1523/JNEUROSCI.23-35-11167.2003	journal	December 2003
Self-organized criticality as a fundamental property of neural systems Hesse, Janina; Gross, Thilo Frontiers in Systems Neuroscience, Vol. 8 https://doi.org/10.3389/fnsys.2014.00166	journal	September 2014
Being Critical of Criticality in the Brain Beggs, John M.; Timme, Nicholas Frontiers in Physiology, Vol. 3 https://doi.org/10.3389/fphys.2012.00163	journal	January 2012

Similar Records

Reconfigurable Cascaded Thermal Neuristors for Neuromorphic Computing

Journal Article · 2023 · Advanced Materials · OSTI ID:2575760

Qiu, Erbin; Zhang, Yuan‐Hang; Ventra, Massimiliano Di; +1 more

A caloritronics-based Mott neuristor

Journal Article · 2020 · Scientific Reports · OSTI ID:1619806

del Valle, Javier; Salev, Pavel; Kalcheim, Yoav; +1 more

Encoding integers and rationals on neuromorphic computers using virtual neuron

Journal Article · 2023 · Scientific Reports · OSTI ID:1988323

Date, Prasanna; Kulkarni, Shruti; Young, Aaron; +3 more

Related Subjects

Science & Technology - Other Topics

Title: Collective dynamics and long-range order in thermal neuristor networks

Citation Formats

References (40)

Similar Records

Related Subjects