SCIENCE CHINA Information Sciences, Volume 64 , Issue 11 : 219402(2021) https://doi.org/10.1007/s11432-020-3127-x

Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications

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  • ReceivedSep 24, 2020
  • AcceptedNov 25, 2020
  • PublishedSep 7, 2021


There is no abstract available for this article.


This work was supported by the National Science and Technology Major Project of China (Grant No. 2017ZX02301007-001), National Natural Science Foundation of China (Grant Nos. 61922083, 61804167, 61834009, 61904200, 62025406, 61821091), and Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB44000000).


Appendixes A and B.


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  • Figure 1

    (Color online) (a) $I$-$V$ curves of the 1T1R RRAM devices for 100 cycles. Inset: schematic of RRAM stack. (b) Cycle-to-cycle resistance distribution measured in 100 cycles. (c) Employed nonidentical programming pulse schemes for potentiation. Releasing current limiting gradually results in many oxygen vacancies move to the CF. (d) Optimized programming schemes with identical SET pulse and RESET pulse pair. The increased conductance measured at 0.1 V. High temperature retention measurement (125$^{\circ}$C) of incremental LRSs programmed by (e) GVR mode, (f) CDV mode.


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