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Expanded HP memristor model and simulation in STDP learning

  • ICONIP 2012
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Abstract

Based on the classical HP memristor found by HP Lab, this paper presents an expanded model that making fully consideration of the influence of R on, that is, R on is the similar order of magnitude of R off. Simulations proved that in some particular conditions, the hysteresis effect of the expanded model is the same as HP memristor. A comparison was made between these two models under some given conditions. Then, we built several simulations to test the classical characteristics of the expanded HP memristor. Simulation results demonstrate that the expanded model is superior to the original in some aspects like easy switching and power saving. At last, we applied the expanded HP memristor in STDP learning simulation, which shows it is a good candidate for neural network when a threshold voltage function is proposed.

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Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, 400044, China

    Yu Dai & Chuandong Li

  2. College of Computer Science, Chongqing University of Post and Telecommunications, Chongqing, 400065, China

    Yu Dai

  3. College of Mathematics Science, Chongqing Normal University, Chongqing, 401331, China

    Hui Wang

Authors
  1. Yu Dai
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  2. Chuandong Li
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  3. Hui Wang
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Correspondence to Chuandong Li.

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Dai, Y., Li, C. & Wang, H. Expanded HP memristor model and simulation in STDP learning. Neural Comput & Applic 24, 51–57 (2014). https://doi.org/10.1007/s00521-013-1467-y

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  • DOI: https://doi.org/10.1007/s00521-013-1467-y

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