DOI QR코드

DOI QR Code

Experimental Study on an Electrical Circuit Model for neuron synapse based Memristor

뉴런 시냅스를 위한 멤리스터의 전기회로 모델의 실험적 연구

  • Mo, Young-Sea (Department of Nanoscience and Engineering, Inje University) ;
  • Song, Han-Jung (Department of Nanoscience and Engineering, Inje University)
  • 모영세 (인제대학교 나노융합공학과) ;
  • 송한정 (인제대학교 나노융합공학과)
  • Received : 2016.06.08
  • Accepted : 2016.10.07
  • Published : 2016.10.25

Abstract

This paper presents an experimental study on an electrical circuit model of the TiO2-based nano-wired memristor device for neuromophic applications. The electrical circuit equivalent model of the proposed memristor device consists of several electronics components and some passive devices including operational amplifiers, multipliers, resistors and capacitors. In order to verify the proposed design, both of simulation (using PSPICE) as well as hardware implementation were performed for the analysis of the memristor circuit with time waveforms, frequency spectra, I-V curves and power curves. The gained results from the measured data showed a good agreement with the simulation result that confirm the proposed idea.

본 논문에서 뉴런시냅스 응용을 위한 이산화 타이타늄 나노와이어 기반 멤리스터 소자의 전기회로 모델의 실험적 연구를 보인다. 제안하는 멤리스터 소자의 전기회로 모델은 IC 칩과 연산증폭기, 곱셈기 저항 및 커패시터 등의 수동소자 등으로 이루어진다. 멤리스터 소자의 등가모델의 시간파형, 주파수 특성, I-V 곡선 및 전력특성 등에 대한 PSPICE 모의실험 및 하드웨어 구현의 실험적 연구를 하였다. 측정결과, 히스테리시스 전류-전압 특성 등 실제 멤리스터 소자의 전기적 특성에 유사한 결과를 확인하였다.

Keywords

References

  1. Dan Simon, Optimal State Estimation:Kalman, $H{\infty}$, and Nonlinear Approaches, John Wiley & Sons, Hoboke, NJ, 1998,
  2. Fred Daum, "Nonlinear filters: beyond the kalman filter," IEEE Aerospace and Electronic Systems Magazine, vol. 20, no. 8, pp. 57-69, Aug. 2005. https://doi.org/10.1109/MAES.2005.1499276
  3. David. G. Lowe, "Object recognition from local scaleinvariant features," Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150-1157, 1999.
  4. Litos Strategic Communication, The Smart Grid: An Introduction", Available: http://www.oe.energy.gov/SmartGridIntroduction.htm, 2008, [Accessed: June 22, 2010]
  5. BY O. KAVEHEI, A. IQBAL, Y. S. KIM1, K. ESHRAGHIAN, S. F. AL-SARAWI,AND D.ABBOTT "The Fourth Element: Characteristics, Modelling, and Electromagnetic Theory of the Memristor" pp.1-28
  6. Pershin, Y. V., & Di Ventra, M. (2010). Practical approach to programmable analog circuits with memristors. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(8), 1857-1864. https://doi.org/10.1109/TCSI.2009.2038539
  7. Mutlu, R., Karakulak, E., & Bolumu, E. Muhendislik Egitiminde Kullanilabilecek Bir Memristor (HafizaliDirenc) Taklit Devresi.
  8. Young-Rae Ko, Tae-Hyoung Kim. "Inverse Hysteresis Modeling for Piezoelectric Stack Actuators with Inverse Generalized Prandtl-Ishlinskii Model." Journal of Korean Institute of Intelligent Systems 24(2) pp.193-200 2014. https://doi.org/10.5391/JKIIS.2014.24.2.193