Table of Contents Author Guidelines Submit a Manuscript
Neural Plasticity
Volume 2017, Article ID 6090312, 8 pages
https://doi.org/10.1155/2017/6090312
Research Article

Emulation with Organic Memristive Devices of Impairment of LTP Mechanism in Neurodegenerative Disease Pathology

1IMEM-CNR, 43124 Parma, Italy
2Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia

Correspondence should be addressed to Silvia Battistoni; ti.rnc.memi@inotsittab.aivlis

Received 2 February 2017; Accepted 13 April 2017; Published 19 June 2017

Academic Editor: Malgorzata Kossut

Copyright © 2017 Silvia Battistoni et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. J. Selkoe, “Alzheimer’s disease: genes, proteins, and therapy,” Physiological Reviews, vol. 81, no. 2, pp. 741–766, 2001. View at Google Scholar
  2. W. Qiang, W. M. Yau, J. X. Lu, J. Collinge, and R. Tycko, “Structural variation in amyloid-β fibrils from Alzheimer’s disease clinical subtypes,” Nature, vol. 541, no. 7636, pp. 217–221, 2017. View at Publisher · View at Google Scholar
  3. D. J. Selkoe, “Alzheimer’s disease is a synaptic failure,” Science, vol. 298, no. 5594, pp. 789–791, 2002. View at Publisher · View at Google Scholar · View at Scopus
  4. J. J. Palop, J. Chin, and L. Mucke, “A network dysfunction perspective on neurodegenerative diseases,” Nature, vol. 443, no. 7113, pp. 768–773, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. D. S. Roy, A. Arons, T. I. Mitchell, M. Pignatelli, T. J. Ryan, and S. Tonegawa, “Memory retrieval by activating engram cells in mouse models of early Alzheimer’s disease,” Nature, vol. 531, no. 7595, pp. 508–512, 2016. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Oddo, A. Caccamo, J. D. Shepherd et al., “Triple-transgenic model of Alzheimer’s disease with plaques and tangles: intracellular Aβ and synaptic dysfunction,” Neuron, vol. 39, no. 3, pp. 409–421, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. S. H. Jo, T. Chang, I. Ebong, B. B. Bhadviya, P. Mazumder, and W. Lu, “Nanoscale memristor device as synapse in neuromorphic systems,” Nano Letters, vol. 10, no. 4, pp. 1297–1301, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Mandal, A. El-Amin, K. Alexander, B. Rajendran, and R. Jha, “Novel synaptic memory device for neuromorphic computing,” Scientific Reports, vol. 4, article 5333, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Saïghi, C. G. Mayr, T. Serrano-Gotarredona et al., “Plasticity in memristive devices for spiking neural networks,” Frontiers in Neuroscience, vol. 9, p. 51, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. V. Erokhin, T. Berzina, and M. P. Fontana, “Hybrid electronic device based on polyaniline-polyethyleneoxide junction,” Journal of Applied Physics, vol. 97, no. 6, article 064501, 2005. View at Google Scholar
  11. T. Berzina, V. Erokhin, and M. Fontana, “Spectroscopic investigation of an electrochemically controlled conducting polymer-solid electrolyte junction,” Journal of Applied Physics, vol. 101, no. 2, article 024501, 2007. View at Google Scholar
  12. T. Berzina, S. Erokhina, P. Camorani, O. Konovalov, V. Erokhin, and M. P. Fontana, “Electrochemical control of the conductivity in an organic memristor: a time-resolved X-ray fluorescence study of ionic drift as a function of the applied voltage,” ACS Applied Materials & Interfaces, vol. 1, no. 10, pp. 2115–2118, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Berzina, A. Smerieri, G. Ruggeri, V. Erokhin, and M. P. Fontana, “Role of the solid electrolyte composition on the performance of a polymeric memristor,” Materials Science and Engineering: C, vol. 30, no. 3, pp. 407–411, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. V. Erokhin, “On the learning of stochastic networks of organic memristive devices,” International Journal of Unconventional Computing, vol. 9, pp. 303–310, 2013. View at Google Scholar
  15. V. Erokhin, T. Berzina, P. Camorani et al., “Material memristive device circuits with synaptic plasticity: learning and memory,” BioNanoScience, vol. 1, no. 1-2, pp. 24–30, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. V. Erokhin, T. Berzina, and M. Fontana, “Polymeric elements for adaptive networks,” Crystallography Reports, vol. 52, no. 1, pp. 159–166, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Smerieri, T. Berzina, V. Erokhin, and M. P. Fontana, “A functional polymeric material based on hybrid electrochemically controlled junctions,” Materials Science and Engineering: C, vol. 28, no. 1, pp. 18–22, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. V. Demin, V. V. Erokhin, A. V. Emelyanov et al., “Hardware elementary perceptron based on polyaniline memristive devices,” Organic Electronics, vol. 25, pp. 16–20, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Emelyanov, D. A. Lapkin, V. A. Demin et al., “First steps towards the realization of a double layer perceptron based on organic memristive devices,” AIP Advances, vol. 6, no. 11, article 111301, 2016. View at Google Scholar
  20. G. Baldi, S. Battistoni, G. Attolini et al., “Logic with memory: and gates made of organic and inorganic memristive devices,” Semiconductor Science and Technology, vol. 29, no. 10, article 104009, 2014. View at Google Scholar
  21. S. Battistoni, A. Dimonte, and V. Erokhin, “Spectrophotometric characterization of organic memristive devices,” Organic Electronics, vol. 38, pp. 79–83, 2016. View at Publisher · View at Google Scholar · View at Scopus
  22. S. Battistoni, A. Dimonte, and V. Erokhin, “Organic memristor based elements for bio-inspired computing,” in Advances in Unconventional Computing, pp. 469–496, Springer, 2017. View at Google Scholar
  23. T. Lindfors and A. Ivaska, “pH sensitivity of polyaniline and its substituted derivatives,” Journal of Electroanalytical Chemistry, vol. 531, no. 1, pp. 43–52, 2002. View at Publisher · View at Google Scholar · View at Scopus
  24. W. W. Focke, G. E. Wnek, and Y. Wei, “Influence of oxidation state, pH, and counterion on the conductivity of polyaniline,” The Journal of Physical Chemistry, vol. 91, no. 22, pp. 5813–5818, 1987. View at Publisher · View at Google Scholar
  25. D. Purves, G. J. Augustine, D. Fitzpatrick et al., Plasticity of Mature Synapses and Circuits, Neuroscience, Sinauer Associates, Sunderland, MA, USA, 3rd edition, 2001.