T Nakagaki

Summary

Affiliation: Hokkaido University
Country: Japan

Publications

  1. ncbi Smart behavior of true slime mold in a labyrinth
    T Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan
    Res Microbiol 152:767-70. 2001
  2. ncbi Path finding by tube morphogenesis in an amoeboid organism
    T Nakagaki
    Local Spatio Temporal Functions Lab, RIKEN Institute, Hirosawa 2 1, Wako, Saitama 351 0198, Japan
    Biophys Chem 92:47-52. 2001
  3. ncbi Smart network solutions in an amoeboid organism
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan
    Biophys Chem 107:1-5. 2004
  4. ncbi Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo 060 0812, Japan
    Proc Biol Sci 271:2305-10. 2004
  5. ncbi Minimum-risk path finding by an adaptive amoebal network
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, 060 0812, Japan
    Phys Rev Lett 99:068104. 2007
  6. ncbi Collective movement of epithelial cells on a collagen gel substrate
    Hisashi Haga
    Division of Biological Sciences, Graduate School of Science, Hokkaido University, Sapporo 060 0810, Japan
    Biophys J 88:2250-6. 2005
  7. ncbi A mathematical model for adaptive transport network in path finding by true slime mold
    Atsushi Tero
    Department of Mathematical and Life Sciences, Hiroshima University, Higashi Hiroshima 739 8526, Japan
    J Theor Biol 244:553-64. 2007
  8. ncbi Flow-network adaptation in Physarum amoebae
    Atsushi Tero
    Research Institute for Electronic Science, Hokkaido University, Sapporo, 060 0812, Japan
    Theory Biosci 127:89-94. 2008
  9. ncbi Locomotive mechanism of Physarum plasmodia based on spatiotemporal analysis of protoplasmic streaming
    Kenji Matsumoto
    Department of Mathematics, Hokkaido University, Sapporo, Japan
    Biophys J 94:2492-504. 2008
  10. ncbi Amoebae anticipate periodic events
    Tetsu Saigusa
    Graduate School of Engineering, Hokkaido University, N13 W8, Sapporo 060 8628, Japan
    Phys Rev Lett 100:018101. 2008

Collaborators

Detail Information

Publications13

  1. ncbi Smart behavior of true slime mold in a labyrinth
    T Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan
    Res Microbiol 152:767-70. 2001
    ..In this report, we discuss information processing in the microorganism to focus on the issue as to whether the maze-solving behavior is akin to primitive intelligence...
  2. ncbi Path finding by tube morphogenesis in an amoeboid organism
    T Nakagaki
    Local Spatio Temporal Functions Lab, RIKEN Institute, Hirosawa 2 1, Wako, Saitama 351 0198, Japan
    Biophys Chem 92:47-52. 2001
    ..A simple cellular mechanism based on interacting cellular rhythms may describe the experimental observations...
  3. ncbi Smart network solutions in an amoeboid organism
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan
    Biophys Chem 107:1-5. 2004
    ..These findings indicate that the plasmodium can achieve a better solution to the problem of network configuration than is provided by the shortest connection of Steiner's minimum tree...
  4. ncbi Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo 060 0812, Japan
    Proc Biol Sci 271:2305-10. 2004
    ..When more than three food sources were presented, the network pattern tended to be a patchwork of SMT and CYC. We therefore concluded that the plasmodium tube network is a well designed and intelligent system...
  5. ncbi Minimum-risk path finding by an adaptive amoebal network
    Toshiyuki Nakagaki
    Research Institute for Electronic Science, Hokkaido University, Sapporo, 060 0812, Japan
    Phys Rev Lett 99:068104. 2007
    ..A model for an adaptive-tube network is presented that is in good agreement with the experimental observations...
  6. ncbi Collective movement of epithelial cells on a collagen gel substrate
    Hisashi Haga
    Division of Biological Sciences, Graduate School of Science, Hokkaido University, Sapporo 060 0810, Japan
    Biophys J 88:2250-6. 2005
    ..In the case of the gel substrate, the spatial correlation length increased gradually, representing the collectiveness of multicellular movement...
  7. ncbi A mathematical model for adaptive transport network in path finding by true slime mold
    Atsushi Tero
    Department of Mathematical and Life Sciences, Hiroshima University, Higashi Hiroshima 739 8526, Japan
    J Theor Biol 244:553-64. 2007
    ..Our model contains a key parameter corresponding to the extent of the feedback regulation between the thickness of a tube and the flux through it. We demonstrate the dependence of the behavior of the model on this parameter...
  8. ncbi Flow-network adaptation in Physarum amoebae
    Atsushi Tero
    Research Institute for Electronic Science, Hokkaido University, Sapporo, 060 0812, Japan
    Theory Biosci 127:89-94. 2008
    ..The proposed algorithm based on Physarum is simple and powerful...
  9. ncbi Locomotive mechanism of Physarum plasmodia based on spatiotemporal analysis of protoplasmic streaming
    Kenji Matsumoto
    Department of Mathematics, Hokkaido University, Sapporo, Japan
    Biophys J 94:2492-504. 2008
    ..The generality of this as a mechanism for amoeboid locomotion is discussed...
  10. ncbi Amoebae anticipate periodic events
    Tetsu Saigusa
    Graduate School of Engineering, Hokkaido University, N13 W8, Sapporo 060 8628, Japan
    Phys Rev Lett 100:018101. 2008
    ..This implied the anticipation of impending environmental change. We explored the mechanisms underlying these types of behavior from a dynamical systems perspective...
  11. ncbi Dynamic organization of ATP and birefringent fibrils during free locomotion and galvanotaxis in the plasmodium of Physarum polycephalum
    T Ueda
    Faculty of Pharmaceutical Sciences, Hokkaido University, Sapporo, Japan
    J Cell Biol 110:1097-102. 1990
    ..In short, birefringent fibrils become abundant where ATP concentration decreases. The possible mechanism of the coordination in the directed migration and the implications of the scaling law are discussed...
  12. ncbi Rules for biologically inspired adaptive network design
    Atsushi Tero
    Research Institute for Electronic Science, Hokkaido University, Sapporo 060 0812, Japan
    Science 327:439-42. 2010
    ..The core mechanisms needed for adaptive network formation can be captured in a biologically inspired mathematical model that may be useful to guide network construction in other domains...
  13. ncbi Mathematical model for rhythmic protoplasmic movement in the true slime mold
    Ryo Kobayashi
    Department of Mathematical and Life Sciences, Hiroshima University, Higashi Hiroshima, 739 8526, Japan
    J Math Biol 53:273-86. 2006
    ..Both our model and physiological observation suggest that cell stiffness plays a primary role in plasmodial behaviors, in contrast to the conventional theory of coupled oscillator systems...