Hybrid slime mould-based system for unconventional computing
暂无分享,去创建一个
Victor Erokhin | Tatiana Berzina | Angelica Cifarelli | Alice Dimonte | T. Berzina | V. Erokhin | A. Cifarelli | A. Dimonte
[1] T. Nakagaki,et al. Intelligence: Maze-solving by an amoeboid organism , 2000, Nature.
[2] Andrew Adamatzky,et al. Slime Mold Solves Maze in One Pass, Assisted by Gradient of Chemo-Attractants , 2011, IEEE Transactions on NanoBioscience.
[3] Toshiyuki Nakagaki,et al. Flow-network adaptation in Physarum amoebae , 2008, Theory in Biosciences.
[4] W. Marwan. Amoeba-Inspired Network Design , 2010, Science.
[5] Andrew Adamatzky,et al. Steering plasmodium with light: Dynamical programming of Physarum machine , 2009, ArXiv.
[6] Jeff Jones,et al. Routing Physarum with Electrical Flow/Current , 2011, Int. J. Nanotechnol. Mol. Comput..
[7] Susan Stepney,et al. Programming Unconventional Computers: Dynamics, Development, Self-Reference , 2012, Entropy.
[8] Andrew Adamatzky,et al. Towards Physarum Robots: Computing and Manipulating on Water Surface , 2008, ArXiv.
[9] D. Stewart,et al. The missing memristor found , 2008, Nature.
[10] Victor Erokhin,et al. Organic Memristors and Adaptive Networks , 2009, NanoNet.
[11] A. Adamatzky,et al. Magnetic Nanoparticles-Loaded Physarum polycephalum: Directed Growth and Particles Distribution , 2014, Interdisciplinary Sciences: Computational Life Sciences.
[12] Leo Egghe,et al. Uncertainty and information: Foundations of generalized information theory , 2007, J. Assoc. Inf. Sci. Technol..
[13] L. Chua. Memristor-The missing circuit element , 1971 .
[14] T. Nakagaki,et al. Smart behavior of true slime mold in a labyrinth. , 2001, Research in microbiology.
[15] Andrew Adamatzky,et al. Toward Hybrid Nanostructure-Slime Mould Devices , 2015 .
[16] Andrew Adamatzky,et al. Are Slime Moulds Living Memristors? , 2013, ArXiv.
[17] T. Nakagaki,et al. Intelligent Behaviors of Amoeboid Movement Based on Complex Dynamics of Soft Matter , 2007 .
[18] Andrew Adamatzky,et al. On the Internalisation, Intraplasmodial Carriage and Excretion of Metallic Nanoparticles in the Slime Mould, Physarum Polycephalum , 2011, Int. J. Nanotechnol. Mol. Comput..
[19] Andrew Adamatzky,et al. Magnetic nanoparticles-loaded Physarum polycephalum: Directed growth and particles distribution. , 2014, Interdisciplinary sciences, computational life sciences.
[20] Koon Gee Neoh,et al. POLYANILINE: A POLYMER WITH MANY INTERESTING INTRINSIC REDOX STATES , 1998 .
[21] T. Berzina,et al. Hybrid electronic device based on polyaniline-polyethyleneoxide junction , 2005 .
[22] A. Dussutour,et al. Slime mold uses an externalized spatial “memory” to navigate in complex environments , 2012, Proceedings of the National Academy of Sciences.
[23] Masashi Aono,et al. Robust and emergent Physarum logical-computing. , 2004, Bio Systems.
[24] Andrew Adamatzky,et al. Manipulating substances with Physarum polycephalum , 2010 .
[25] T. Berzina,et al. Spectral imaging method for studying Physarum polycephalum growth on polyaniline surface. , 2015, Materials science & engineering. C, Materials for biological applications.
[26] Christian Kandt,et al. Efflux pump-mediated antibiotics resistance: Insights from computational structural biology , 2014, Interdisciplinary Sciences: Computational Life Sciences.
[27] Victor Erokhin,et al. Thin Film Electrochemical Memristive Systems for Bio-Inspired Computation , 2011 .
[28] A Adamatzky,et al. Routing Physarum with repellents , 2010, The European physical journal. E, Soft matter.