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2016 | OriginalPaper | Buchkapitel

On the Memristive Properties of Slime Mould

verfasst von : Ella Gale, Andrew Adamatzky, Ben de Lacy Costello

Erschienen in: Advances in Physarum Machines

Verlag: Springer International Publishing

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Abstract

Physarum polycephalum has been shown to be a biological computer, capable of solving problems through morphological computation. We present laboratory experiments where Physarum was investigated as a component of electronic or wet-ware computers. We find that \(I-T\) electronic signals consistent in time-scale with shuttle transport can be recorded with a sensitive Keithley electrometer. The memristor is a novel non-linear stateful resistor with great promise in neuromorphic computing. We demonstrate that Physarum gives \(I-V\) curves consistent with a memristor and that this response is located in the living cytosol part of the organism (as opposed to the gel outer-body or slime layer). We model the Physarum as an active memristor (a memristor combined with a battery), where the living Physarum metabolism provides energy.

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Vorheriges Kapitel Logical Gates and Circuits Implemented in Slime Mould

Nächstes Kapitel Physarum in Hybrid Electronic Devices

Adamatzky, A.: Developing proximity graphs by Physarum polycephalum: does the plasmodium follow toussaint hierarchy? Parallel Process. Lett. 19, 105–127 (2008)MathSciNetCrossRef

Adamatzky, A.: Physarum Machines. World Scientific (2010)

Adamatzky, A.: Slime mould tactile sensor. Sens. Actuators B: Chemical 188, 38–44 (2013)CrossRef

Adamatzky, A.: Towards slime mould colour sensor: recognition of colours by physarum polycephalum. Org. Electron. 14, 3355–3361 (2013)CrossRef

Adamatzky, A.: Tactile bristle sensors made with slime mold. IEEE Sens. J. 14(14), 324–332 (2014)CrossRef

Adamatzky, A., Jones, J.: On electrical correlates of physarum polycephalum spatial activity: can we see physarum machine in the dark? Biophys. Rev. Lett. 6, 29–57 (2011)CrossRef

Borghetti, J., Snider, G.D., Kuekes, P.J., Yang, J.J., Stewart, D.R., Williams, R.S.: ‘Memristive’ switches enable ‘stateful’ logic operations via material implication. Nature 464, 873–876 (2010)CrossRef

Chua, L.: Memristor-the missing circuit element. IEEE Trans. Circuit Theory 18, 507–519 (1971)CrossRef

Chua, L., Sbitnev, V., Kim, H.: Hodgkin-huxley axon is made of memristors. Int. J. Bifurcat. Chaos 22, 1230,011 (48pp) (2012)

10.

Chua, L.O., Kang, S.M.: Memristive devices and systems. Proc. IEEE 64, 209–223 (1976)MathSciNetCrossRef

11.

Ella Gale, B.d.L.C., Adamatzky, A.: Is spiking logic the route to memristor-based computers? In: Proceedings of 2013 IEEE International Conference on Electronics, Circuits and Systems, pp. 297–300 (2013)

12.

Gale, E.: The memory-conservation theory of memristance. Proceedings of UKSIM-AMSS 16th International Conference on Simulation and Modelling 95, 598–603 (2014)

13.

Gale, E., Pearson, D., Kitson, S., Adamatzky, A., de Lacy Costello, B.: The effect of changing electrode metal on solution-processed flexible titanium dioxide memristors. Mater. Phys. Chem. 162, 20–30 (2015)

14.

Gale E. de Lacy Costello B., Adamatzky, A.: Electronic measurement light response of physarum polycephalum. Forthcoming (2015)

15.

Georgiou, P., Yaliraki, S., Drakakis, E., Barahona, M.: Quantitative measure of hysteresis for memristors through explicit dynamics. Proc. Roy. Soc. A 468, 2210–2229 (2012)MathSciNetCrossRef

16.

Howard, G.D., Gale, E., Bull, L., de Lacy Costello, B. Adamatzky, A.: Evolution of plastic learning in spiking networks via memristive connections. IEEE Trans. Evol. Comput. 16, 711–719 (2012)

17.

Itoh, M., Chua, L.: Memristor oscillators. Int. J. Bifurcat. Chaos 18, 3183–3206 (2008)MathSciNetCrossRefMATH

18.

Jo, S.H., Chang, T., Ebong, I., Bhadviya, B.B., Mazumder, P., Lu, W.: Nanoscale memristor device as a synapse in neuromorphic systems. Nanoletters 10, 1297–1301 (2010)CrossRef

19.

Johnsen, G.K., Lütken, C.A., Martinsen, O.G., Grimnes, S.: Memristive model of electro-osmosis in skin. Phys. Rev. E 83, 031–916 (2011). doi:10.1103/PhysRevE.83.031916. http://link.aps.org/doi/10.1103/PhysRevE.83.031916

20.

Kosta, S., Kosta, Y., Bhatele, M., Dubey, Y., Gaur, A., Kosta, S., Gupta, J., Patel, A., Patel, B.: Human blood liquid memristor. Int. J. Med. Eng. Informatics 16–29 (2011)

21.

Kosta, S.P., Kosta, Y., Gaur, A., Dube, Y.M., Chuadhari, J.P., Patoliya, J., Kosta, S., Panchal, P., Vaghela, P., Patel, K., Patel, B., Bhatt, R., Patel, V.: New vistas of electronics towards biological (biomass) sensors. Int. J. Acad. Res. 511–526 (2011)

22.

de Lacy Costello, B., Adamatzky, A.: Assessing the chemotaxis behavior of Physarum polycephalum to a range of simple volatile organic chemicals. Commun. Interfrative Biol. 6 (2013)

23.

Nakagaki, T., Yamada, H., Toth, A.: Maze-solving by an amoeboid organism. Nature 407(6803), 470 (2000). doi:10.1038/35035159. http://dx.doi.org/10.1038/35035159

24.

Pershin, Y.V., Di Ventra, M.: Experimental demonstration of associative memory with memristive neural networks. Neural Networks 23(7), 881–886 (2010). doi:10.1016/j.neunet.2010.05.001. http://dx.doi.org/10.1016/j.neunet.2010.05.001

25.

Pershin, Y.V., Fontaine, S.L., di Ventra, M.: Memristive model of amoeba’s learning. Phys. Rev. E 80, 021,926 (6 pages) (2009)

26.

Angelica, C., Alice, D., Tatiana, B., Victor, E., On the loading of slime mold physarum polycephalum with microparticles for unconventional computing application. J BioNanoScience 4(1) 2191–630 (2014)

27.

Saigusa, T., Tero, A., Nakagaki, T., Kuramoto, Y.: Amoebae anticipate periodic events. Phys. Rev. Lett. 100, 018,101 (2008). doi:10.1103/PhysRevLett.100.018101. http://link.aps.org/doi/10.1103/PhysRevLett.100.018101

28.

Smerieri, A., Berzina, T., Erokhin, V., Fontana, M.P.: Polymeric electrochemical element for adaptive networks: pulse mode. J. Appl. Phys. 104(11), 114513 (2008). doi:10.1063/1.3033399. http://scitation.aip.org/content/aip/journal/jap/104/11/10.1063/1.3033399

29.

Stanley Williams, R.: Aftermath of Finding the Memristor. In: Adamatzky, A. et al. (eds.) Chaos, CNN, Memristors and Beyond: A Festschrift for Leon Chua (With DVD-ROM, Composed by Eleonora Bilotta). Andrew, A. et al. (eds.) World Scientific Publishing Co., Pte. Ltd., 2013. pp. 490–493, ISBN #9789814434805, pp. 490–493 (2013). doi:10.1142/9789814434805_0039

30.

Strukov, D.B., Snider, G.S., Stewart, D.R., Williams, R.S.: The missing memristor found. Nature 453, 80–83 (2008)CrossRef

31.

Tian, B., Liu, J., Dvir, T., Jin, L., Tsui, J.H., Qing, Q., Suo, Z., Langer, R., Kohane, D.S., Lieber, C.M.: Macroporous nanowire nanoelectronic scaffolds for synthetic tissues. Nature Mater. 11, 986994 (2012). doi:10.1038/nmat3404. http://www.nature.com/nmat/journal/v11/n11/full/nmat3404.html

32.

Valov, I., Linn, E., Tappertzhofen, S., Schmelzer, S., van den Hurk, J., Lentz, F., Waser, R.: Nanobatteries in redox-based resistive switches require extension of memristor theory. Nature Commun. 4(1771), 9 (2013)

33.

Whiting, J.G., de Lacy Costello, B.P., Adamatzky, A.: Towards slime mould chemical sensor: mapping chemical inputs onto electrical potential dynamics of physarum polycephalum. Sens. Actuators B Chemical 191, 844–853 (2014). doi:10.1016/j.snb.2013.10.064. http://www.sciencedirect.com/science/article/pii/S0925400513012501

34.

Zamarreno-Ramos, C., nas, L.A.C., Pérez-Carrasco, J.A., Masquelier, T., Serrano-Gotarredona, T., Linares-Barranco, B.: On spike-timing dependent plasticity, memristive devices and building a self-learning visual cortex. Front. Neuormorphic Eng. 5, 26(1)–26(20) (2011)

Titel: On the Memristive Properties of Slime Mould
verfasst von: Ella Gale
Andrew Adamatzky
Ben de Lacy Costello
Verlag: Springer International Publishing
Buch: Advances in Physarum Machines
Print ISBN: 978-3-319-26661-9

Electronic ISBN: 978-3-319-26662-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-26662-6_4

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