journal article·2024-06-19Open access

Biorealistic Neuronal Temperature-Sensitive Dynamics within Threshold Switching Memristors: Toward Neuromorphic Thermosensation

Akhil Bonagiri, Sujan Kumar Das, Camilo Verbel Marquez, Armando Rúa, Etienne Puyoo, Shimul Kanti Nath, David Albertini, Nicolas Baboux, Mutsunori Uenuma, Robert Glen Elliman, Sanjoy Kumar Nandi

ACS Applied Materials & Interfaces· Volume 16· Issue 24

Abstract

Neuromorphic nanoelectronic devices that can emulate the temperature-sensitive dynamics of biological neurons are of great interest for bioinspired robotics and advanced applications such as in silico neuroscience. In this work, we demonstrate the biomimetic thermosensitive properties of two-terminal V 3 O 5 memristive devices and showcase their similarity to the firing characteristics of thermosensitive biological neurons. The temperature-dependent electrical characteristics of V 3 O 5 -based memristors are used to understand the spiking response of a simple relaxation oscillator. The temperature-dependent dynamics of these oscillators are then compared with those of biological neurons through numerical simulations of a conductance-based neuron model, the Morris–Lecar neuron model. Finally, we demonstrate a robust neuromorphic thermosensation system inspired by biological thermoreceptors for bioinspired thermal perception and representation. These results not only demonstrate the biorealistic emulative potential of threshold-switching memristors but also establish V 3 O 5 as a functional material for realizing solid-state neurons for neuromorphic computing and sensing applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural dynamics and brain function · Transition Metal Oxide Nanomaterials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electronics and Communication, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India

Department of Electronic Materials Engineering, Research School of Physics, Australian National University, Canberra, Australian Capital Territory 2601, Australia

Department of Physics, University of Puerto Rico, Mayaguez, PR 00681, United States

CNRS, INSA Lyon, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1, Villeurbanne 69622, France

School of Photovoltaic and Renewable Energy Engineering, University of New South Wales (UNSW Sydney), Kensington, NSW 2052, Australia

Information Device Science Laboratory, Nara Institute of Science and Technology (NAIST), Ikoma, Nara 630-0192, Japan

Funding

Gordon and Betty Moore Foundation · Centre National de la Recherche Scientifique · National Science Foundation · UPRM College of Arts and Science

References (49)

Show source-provided references
1. 10.1111/j.1749-6632.1998.tb08319.x10.1111/j.1749-6632.1998.tb08319.x ↗
2. 10.3389/fnins.2014.0030710.3389/fnins.2014.00307 ↗
3. 10.1016/j.conb.2012.01.00810.1016/j.conb.2012.01.008 ↗
4. 10.1038/nrn378410.1038/nrn3784 ↗
5. 10.1146/annurev.ph.48.030186.00320510.1146/annurev.ph.48.030186.003205 ↗
6. 10.1523/JNEUROSCI.15-08-05681.199510.1523/JNEUROSCI.15-08-05681.1995 ↗
7. 10.1093/gbe/evu21610.1093/gbe/evu216 ↗
8. 10.1038/s41467-018-07052-w10.1038/s41467-018-07052-w ↗
9. 10.1063/5.002787510.1063/5.0027875 ↗
10. 10.1063/1.499937310.1063/1.4999373 ↗
11. 10.1038/s41928-019-0360-910.1038/s41928-019-0360-9 ↗
12. 10.1038/nnano.2016.7010.1038/nnano.2016.70 ↗
13. 10.1073/pnas.210589511810.1073/pnas.2105895118 ↗
14. 10.3389/fnins.2018.0021010.3389/fnins.2018.00210 ↗
15. Bidoul N. · 2023
16. 10.1021/acsnano.9b0339710.1021/acsnano.9b03397 ↗
17. 10.1063/1.243145610.1063/1.2431456 ↗
18. 10.1002/adma.20220847710.1002/adma.202208477 ↗
19. 10.1016/0038-1098(78)91492-810.1016/0038-1098(78)91492-8 ↗
20. 10.1021/acs.chemmater.2c0103010.1021/acs.chemmater.2c01030 ↗
21. 10.1002/adma.20140240410.1002/adma.201402404 ↗
22. Kittiwatanakul S. · 2018 · 38
23. 10.1016/j.infrared.2012.10.00610.1016/j.infrared.2012.10.006 ↗
24. 10.1364/JOT.66.00038710.1364/JOT.66.000387 ↗
25. 10.1109/TNANO.2010.204786710.1109/TNANO.2010.2047867 ↗
26. 10.1063/1.498648610.1063/1.4986486 ↗
27. 10.1088/1361-6463/ab217a10.1088/1361-6463/ab217a ↗
28. 10.1016/S0006-3495(81)84782-010.1016/S0006-3495(81)84782-0 ↗
29. 10.1109/TNNLS.2022.323129810.1109/TNNLS.2022.3231298 ↗
30. 10.1038/s41467-022-31747-w10.1038/s41467-022-31747-w ↗
31. 10.1038/s41467-019-13827-610.1038/s41467-019-13827-6 ↗
32. 10.1063/1.503799010.1063/1.5037990 ↗
33. 10.1016/j.neuron.2020.05.00910.1016/j.neuron.2020.05.009 ↗
34. 10.1152/advan.00126.201410.1152/advan.00126.2014 ↗
35. 10.1002/bies.2053210.1002/bies.20532 ↗
36. 10.1523/JNEUROSCI.23-20-07461.200310.1523/JNEUROSCI.23-20-07461.2003 ↗
37. 10.1109/TNB.2018.283805610.1109/TNB.2018.2838056 ↗
38. 10.1152/ajpregu.2001.281.3.R70610.1152/ajpregu.2001.281.3.R706 ↗
39. 10.3389/fncel.2012.0002710.3389/fncel.2012.00027 ↗
40. 10.1007/BF0023611210.1007/BF00236112 ↗
41. 10.1152/jn.00264.200710.1152/jn.00264.2007 ↗
42. 10.1016/j.cell.2011.01.02810.1016/j.cell.2011.01.028 ↗
43. 10.1038/nature0700110.1038/nature07001 ↗
44. 10.1002/adma.20240090410.1002/adma.202400904 ↗
45. 10.1107/S160057671601206110.1107/S1600576716012061 ↗
46. Roisnel J. · Int. Union. Crystallogr. · 1998
47. 10.1021/acsami.2c0687010.1021/acsami.2c06870 ↗
48. 10.1021/acsami.9b2025210.1021/acsami.9b20252 ↗
49. 10.1063/1.492866110.1063/1.4928661 ↗