Magnetic Nanoparticles-Loaded Physarum polycephalum: Directed Growth and Particles Distribution

详细信息    查看全文

• 作者：Alice Dimonte ; Angelica Cifarelli…
• 关键词：Unconventional computing ; Physarum polycephalum ; Network ; Magnetic particles ; Analog control
• 刊名：Interdisciplinary Sciences: Computational Life Sciences
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：7
• 期：4
• 页码：373-381
• 全文大小：3,361 KB
• 参考文献：1.Nakagaki T, Yamada H, Toth A (2000) Maze-solving by an amoeboid organism. Nature 407:470CrossRef PubMed
  2.Tsuda S, Aono M, Gunji YP (2004) Robust and emergent Physarum logical-computing. BioSystems 73:45鈥?5CrossRef PubMed
  3.Adamatzky A (2010) Physarum machines: computers from Slime Mould. World Scientific, Singapore
  4.Adamatzky A, Jones J (2010) On electrical correlates of Physarum polycephalum spatial activity: can we see Physarum machine in the dark? Biophys Rev Lett 6:29鈥?7CrossRef
  5.Adamatzky A (2008) Physarum machine: implementation of a Kolmogorov鈥揢spensky machine on a biological substrate. Parallel Process Lett 19:105鈥?27CrossRef
  6.Adamatzky A (2009) Slime mould logical gates: exploring ballistic approach. Slime mould logical gates. arxiv:鈥?005.鈥?301v1 [nlin.PS]
  7.Schumann A, Adamatzky A (2011) Physarum spatial logic. New Math Nat Comput 7:483鈥?98CrossRef
  8.Adamatzky A (2013) Slime mould tactile sensor. Sens Actuators B 188:38鈥?4. doi:10.鈥?016/鈥媕.鈥媠nb.鈥?013.鈥?6.鈥?50 CrossRef
  9.De Lacy Costello B, Adamatzky A (2013) Assessing the chemotaxis behavior of Physarum polycephalum to a range of simple volatile organic chemicals. Commun Integr Biol 6:25030CrossRef
  10.Gale E, Adamatzky A, De Lacy Costello B (2013) Are slime moulds living memristors? Are slime moulds living memristors? arxiv:鈥?306.鈥?414 [cs.ET]
  11.Adamatzky A, De Lacy Costello B, Shirakawa T (2008) Universal computation with limited resources: Belousov鈥揨habotinsky and Physarum computers. Int J Bifurc Chaos 18:2373鈥?389CrossRef
  12.Adamatzky A (2009) If BZ medium did spanning trees these would be the same trees as Physarum built. Phys Lett A 373:952鈥?56CrossRef
  13.Licci F, Rinaldi S, Besagni T (1986) Method for the preparation of fine hexagonal ferrite powders, in particular for magnetic recording. U.S. patent no. 4 622, p 159
  14.Bolzoni F, Cabassi R (2004) Review of singular point detection techniques. Phys B Phys Condens Matter 346:524鈥?27CrossRef
  15.Adamatzky A (2010) Manipulating substances with Physarum polycephalum. Mater Sci Eng C 30:1211鈥?220CrossRef
  16.Dussutour A, Latty T, Beekman M, Simpson SJ (2010) Amoeboid organism solves complex nutritional challenges. PNAS 107:1鈥?CrossRef
  17.Adamatzky A (2009) Steering plasmodium with light: dynamical programming of Physarum machine. Steering plasmodium with light: dynamical programming of Physarum machine arxiv:鈥?908.鈥?850 [nlin.PS]
  18.Shirakawa T, Konagano R, Inoue K (2012) Novel taxis of the Physarum plasmodium and a taxis-based simulation of Physarum swarm. In: SCIS-ISIS, Kobe, Japan, November 20鈥?4
  
• 作者单位：Alice Dimonte (1)
  Angelica Cifarelli (1) (2)
  Tatiana Berzina (1)
  Valentina Chiesi (1)
  Patrizia Ferro (1)
  Tullo Besagni (1)
  Franca Albertini (1)
  Andrew Adamatzky (3)
  Victor Erokhin (1)
  
  1. National Council of the Researches 鈥?Institute of Materials for Electronics and Magnetism (CNR-IMEM), Parco Area delle Scienze 37A, 43124, Parma, Italy
  2. Department of Physics and Earth Science, University of Parma, Viale Usberti 7A, 43124, Parma, Italy
  3. Unconventional Computing Centre, University of the West of England, Bristol, UK
  
• 刊物主题：Computer Appl. in Life Sciences; Computational Biology/Bioinformatics; Statistics for Life Sciences, Medicine, Health Sciences; Theoretical and Computational Chemistry; Theoretical, Mathematical and Computational Physics; Computational Science and Engineering;
• 出版者：International Association of Scientists in the Interdisciplinary Areas
• ISSN：1867-1462

文摘

Slime mold Physarum polycephalum is a single cell visible by an unaided eye. The slime mold optimizes its network of protoplasmic tubes to minimize expose to repellents and maximize expose to attractants and to make efficient transportation of nutrients. These properties of P. polycephalum, together with simplicity of its handling and culturing, make it a priceless substrate for designing novel sensing, computing and actuating architectures in living amorphous biological substrate. We demonstrate that, by loading Physarum with magnetic particles and positioning it in a magnetic field, we can, in principle, impose analog control procedures to precisely route active growing zones of slime mold and shape topology of its protoplasmic networks. Keywords Unconventional computing Physarum polycephalum Network Magnetic particles Analog control