Browse > Article
http://dx.doi.org/10.5573/ieie.2015.52.4.080

Linearization Effect of Weight Programming about Time in Memristor Bridge Synapse  

Choi, Hyuncheol (Electronics and Information Department, Chonbuk National University, Intelligent Robots Research Center)
Park, Sedong (Electronics and Information Department, Chonbuk National University, Intelligent Robots Research Center)
Yang, Changju (Electronics and Information Department, Chonbuk National University, Intelligent Robots Research Center)
Kim, Hyongsuk (Electronics and Information Department, Chonbuk National University, Intelligent Robots Research Center)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.4, 2015 , pp. 80-87 More about this Journal
Abstract
Memristor is a new kind of memory device whose resistance varies depending upon applied charge and whose previous resistance state is preserved even when its power is off. Ordinary memristor has a nonlinear programming characteristics about time when a constant voltage is applied. For the easiness of programming, it is desirable that resistance is programmed linearly about time. We had proposed previously a memristor bridge configuration with which weight can be programmed nicely in positive, negative or zero. In memristor bridge circuit, two memristors are connected in series with different polarity. Memristors are complementary each other and it follows that the memristance variation is linear with respect to time. In this paper, the linearization effect of weight programming of memristor bridge synapse is investigated and verified about both $TiO_2$ memristor from HP and a nonlinear memristor with a window function. Memristor bridge circuit would be helpful to conduct synaptic weight programming.
Keywords
인공신경망;멤리스터;멤리스터 브릿지 회로;시냅스 가중치 프로그래밍;선형화 효과;
Citations & Related Records
연도 인용수 순위
  • Reference
1 The Scientific American Book of the Brain. New York: Scientific American, 1999.
2 L. O. Chua and L. Yang, "Cellular neural networks: Theory," IEEE Trans. Circuits Syst., vol. CAS-35, no. 10, pp. 1257-1272, Oct. 1988.
3 L. O. Chua and L. Yang, "Cellular neural networks: Applications," IEEE Trans. Circuits Syst., vol. CAS-35, no. 10, pp. 1273-1290, Oct. 1988.
4 T. Roska and L. O. Chua, "The CNN universal machine: An analogic array computer," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 40, no. 3, pp. 163-172, Mar. 1993.   DOI   ScienceOn
5 H. Kim, H. Son, T. Roska, and L. O. Chua, "Optimal path finding with space- and time-variant metric weights with multi-layer CNN," Int. J. Circuits Theory Appl., vol. 30, pp. 247-270, 2002.   DOI   ScienceOn
6 H. Kim, H. Son, T. Roska, and L. O. Chua, "High-performance Viterbi decoder with circularly connected 2-D CNN unilateral cell array," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 52, no. 10, pp. 2208-2218, Oct. 2005.   DOI   ScienceOn
7 R. Dominguez-Castro, S. Espejo, A. Rodriguez-Vazquez, R. A. Carmona, P. Foldesy, A. Zarandy, P. Szolgay, T. Sziranyi, and T. Roska, "A 0.8-${\mu}m$ CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage," IEEE J. Solid-State Circuits, vol. 32, no. 7, pp. 1013.1026, Jul. 1997.   DOI   ScienceOn
8 J. M. Cruz and L. O. Chua, "A 16 ${\times}$ 16 cellular neural network universal chip: The first complete single-chip dynamic computer array with distributed memory and with gray-scale input-output," Analog Integr. Circuits Signal Process., vol. 15, pp. 227-237, 1998.   DOI   ScienceOn
9 L. O. Chua, "Memristor-the missing circuit element," IEEE Trans. Circuit Theory
10 L. O. Chua and S. M. Kang, "Memristive devices and systems," Proc. IEEE, vol. 64, no. 2, pp. 209-223, Feb. 1976.   DOI   ScienceOn
11 D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, "The missing memristor found", Nature, vol. 453, pp. 80-83, 2008.   DOI   ScienceOn
12 H. Kim, M. P. Sah, C. Yang, T. Roska, and L. O. Chua, "Memristor bridge synapses," Proc. IEEE, vol. 100, pp. 2061-2070, Jun. 2012.   DOI   ScienceOn
13 Y. N. Joglekar and S. J. Wolf, "The elusive memristor: Properties of basic electrical circuits," Eur. J. Phys., vol. 30, no. 4, pp. 661-675, 2009.   DOI   ScienceOn