Adaptive polymeric system for Hebbian type learning

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Camorani , Paolo ; Erokhin , Victor ; Berzina , Tatiana ; Fontana , Marco P. (2011)

International audience; We present the experimental realization of an adaptive polymeric system displaying a "learning behaviour". The system consists on a statistically organized networks of memristive elements (memory-resitors) based on polyaniline. In a such network the path followed by the current increments its conductivity, a property which makes the system able to mimic Hebbian type learning and have application in hardware neural networks. After discussing the working principle of single memristive element developed in our lab we present realization and the relative experimental results a statistically organized polymeric adaptive network.
  • References (15)
    15 references, page 1 of 2

    [2] Boca Raton: CRC Press LLC, 2000 D. O. Hebb, The Organization of Behavior. A Neurophychological Theory. Second Edition. Wiley and Sons, New York (1961).

    [3] C. H. Bailey, M. Giustetto, Y.-Y. Huang, R. D. Hawkins, and E. R. Kandel, Is Heterosynaptic Modulation Essential for Stabilizing Hebbian Plasticity and Memory? Natur Rev. Neurosci., 1, 11 (2000).

    [4] C. Mead, Analog VLSI and Neural Systems, Addison Wesley, Menlo Park, Ca. 1989.

    [5] D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, The Missing Memristor Found, Nature, 453, 80 (2008).

    [6] L. Chua, Memristor - The Missing Circuit Element. IEEE Trans. Circuit Theory, 18, 507 (1971).

    [7] X. Cao, FX.Li, X. Gao, W. Yu, X. Liu, Y. Zhang, L. Chen, and X. Cheng, Forming-Free Colossal Resistive Switchig Effect in Rare-Earth-oxide Gd2O3 Films for Memristor Applications, oJ.Appl. Phys., 106, 073723 (2009).

    [8] T. Driscoll, H.-T. Kim, B.-G. Chae, M. Di ventra, and D. N. Basov, Phase-Transition Driven Memristrive System, Appl. Phys. Lett., 95, 043503 (2009).

    [9] T. H. Kim, E. Y. JaPng,N. J. Lee, D. J. Choi, K.-J. Lee, J. Jang, J. Choi, S. H. Moon, and J. Cheon, Nanoparticle Assemblies as Memristors, Nano Lett., 9, 2229 (2009).

    [10] V. Erokhin, T. eBerzina, and M. P. Fontana, Hybrid Electronic Device Based on Polyaniline-Polyethylene Oxide Junction, J. Appl. Phys., 97, 064501 (2005).

    [11] S. Stafstrom, J. L. Beredas, A. J. Epstein, H. S. Woo, D. B. Tanner, W. S. Huang, and r A. G. MacDiarmid, Polaron Lattice in Highly Conducting Polyaniline: Theoretical and Optical Studies, Phys. Rev. Lett., 59, 1464 (1987).

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