Pavlov associative memory in a memristive neural network and its circuit implementation

Neurocomputing

Volumn 171, Issue , 2016, Pages 23-29

  Wang, Lidan ^a   Li, Huifang ^a   Duan, Shukai ^a   Huang, Tingwen ^b   Wang, Huamin ^a  

^a SOUTHWEST UNIVERSITY   (China)

^b TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

Associative memory; Average input feedback (AIF); Memristive neural network circuit; Memristor

Indexed keywords

ASSOCIATIVE STORAGE; MEMORY ARCHITECTURE; MEMRISTORS; PASSIVE FILTERS; SPICE;

ASSOCIATIVE LEARNING; ASSOCIATIVE MEMORY; AVERAGE-INPUT-FEEDBACK (AIF); CIRCUIT IMPLEMENTATION; LEARNING LAW; MEMRISTOR; TWO TERMINALS;

ASSOCIATIVE PROCESSING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATIVE MEMORY; AVERAGE INPUT FEEDBACK; CHARGE CONTROLLED MEMRISTOR; ELECTRONICS; LEARNING ALGORITHM; MATHEMATICAL MODEL; MEMRISTIVE NEURAL NETWORK; PRIORITY JOURNAL; SIMULATION;

EID: 84944449412     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.05.078     Document Type: Article

References (25)

1. Chua L.O. Memristor-the missing circuit element. IEEE Trans. Circuit Theory 1971, 18:507-519.
2. Strukov D.B., Snider G.S., Stewart D.R., Williams R.S., et al. The missing memristor found. Nature 2008, 453:80-83.
3. Pavlov I.P. Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex 1927, Oxford University Press, London. G.V. Anrep (Ed.).
4. Jo S.H., Chang T., Ebong I., Bhadviya B.B., Mazumder P., Lu W. Nanoscale memristor device as synapse in neuromorphic systems. NanoLett 2010, 10(4):1297-1301.
5. Y.V. Pershin, M.D. Ventra, Neuromorphic, digital and quantum computation with memory circuit elements, 2011, pp.1-9. arxiv:1009.6025v2.
6. Pershin Y.V., Ventra M.D. Experimental demonstration of associative memory with memristive neural networks. Neural Netw. 2010, 23(7):881-886.
7. Zhang G, Shen Y. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control. Neural Netw. 2014, 2014(55):1-10.
8. Wang H, Yu Y, Wen G. Stability analysis of fractional-order Hopfield neural networks with time delays. Neural Netw. 2014, 2014(55):98-109.
9. Itoh M., Chua L.O. Memristor cellular automata and memristor discrete-time cellular neural networks. Int. J. Bifurc. Chaos 2009, 19(11):3605-3656.
10. Biolek Z., Biolek D., Biolkova V. SPICE model of memristor with nonlinear dopant drift. Radioengineering 2009, 18(2):210-214.
11. Batas D., Fiedler H. A memristor SPICE implementation and a new approach for magnetic flux-controlled memristor modeling. IEEE Trans. Nanotechnol. 2011, 10(2):250-255.
12. Shin S., Kim K., Kang S.M. Compact models for memristors based on charge-flux constitutive relationships. IEEE Trans. CAD Integr. Circuit Syst. 2010, 29(4):590-598.
13. Strukov D.B., Borghetti J.L., Williams R.S. Coupled ionic and electronic transport model of thin-film semiconductor memristive behavior. Small 2009, 5(9):1058-1063.
14. Duan S.K., Zhang Y., Hu X.F., Wang L.D., Li Chuandong Memristor based Chaotic Neural Networks for Associative Memory. Neural Comput. Appl. 2014, 9. 10.1007/s00521-014-1633-x.
15. Li H.F., Wang L.D., Duan S.K. A memristor-based scroll chaotic system-design, analysis and circuit implementation. Int. J. Bifurc. Chaos 2014, 24(7):10.
16. Ramos C.Z., Mesa L.A.C., Carrasco J.A.P., Masquelier T., Gotarredona T.S., Barranco B.L. On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex. Front. Neurosci. 2011, 5:22.
17. Gurney K. An Introduction to Neural Networks 1997, UCL Press (Taylor & Francis group).
18. Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. U. S. A. 1982, 79(8):2554-2558.
19. Cooper L. Memories and memory: a physicist's approach to the brain. Int. J. Mod. Phys. A 2000, 15(26):4069-4082.
20. Chen L., Li C.D., Wang X., Duan S.K. Associate learning and correcting in a memristive neural network. Neural Comput. Appl. 2013, 22:1071-1076.
21. Wang L.D., Emmanuel D., Duan S.K., He P.F. Memristor model and its application for chaos generation. Int. J. Bifurc. Chaos 2012, 22(8):14.
22. Fang X.Y., Wang L.D., Duan S.K. Adaptive single-neuron proportional-integral-derivative controller base on memristor. Appl. Mech. Mater. 2013, 284-287:2205-2209.
23. Wang L.D., Duan M.T., Duan S.K. Memristive perceptron for combinational logic classification. Math. Probl. Eng. 2013, 2013:7.
24. Duan S.K., Wang L.D. A novel delayed chaotic neural model and its circuitry implementation. Comput. Math. Appl. 2009, 57(11-12):1736-1742.
25. Fang X.Y., Wang L.D., Duan S.K. Adaptive single-neuron proportional-integral-derivative controller base on memristor. Appl. Mech. Mater. 2013, 2013(284-287):2205-2209.