Turing's Reaction-Diffusion System and Agent-Based Models in Biology - Lecture 2

Turing's Reaction-Diffusion System and Agent-Based Models in Biology - Lecture 2

International Centre for Theoretical Sciences via YouTube Direct link

Prediction by the Turing simulation

9 of 45

9 of 45

Prediction by the Turing simulation

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Turing's Reaction-Diffusion System and Agent-Based Models in Biology - Lecture 2

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  1. 1 Turing's reaction-diffusion system - 2
  2. 2 2021.1.20 Thirsty of Theoretical Biology
  3. 3 Experience the Turing system!
  4. 4 Original reaction-diffusion model
  5. 5 The simulations beautifully regenerate the animal pattern
  6. 6 an alternative mechanism Positional information model
  7. 7 How can we prove the existence of the Turing system?
  8. 8 [Code Walkthrough]
  9. 9 Prediction by the Turing simulation
  10. 10 Napoleon fish
  11. 11 How the pattern change?
  12. 12 Time course of pattern change
  13. 13 Skin patterns of fish show specific dynamics of Turing pattern
  14. 14 Parameter analysis of RD mechanism
  15. 15 Additional evidence II
  16. 16 Experiments to identify the real mechanism following the idea of "Reductionism"
  17. 17 Short range inhibition
  18. 18 Exclusion melanophores by xanthophores
  19. 19 Interaction occurs by the direct touch
  20. 20 Finding long range interaction
  21. 21 Melanophores in the center of the black stripe extend the long projection toward xanthophores
  22. 22 Major interactions between the pigment cells
  23. 23 To "tune" the activity of cx418, series of deletions at the amino-terminal are generated.
  24. 24 Modulation of single gene activity can generate variety of patterns
  25. 25 Is the identified mechanism equal to the RD model?
  26. 26 Identified network is similar to the Turing model.
  27. 27 Summary
  28. 28 Problem!! No diffusion in the real system.
  29. 29 Agent-based model
  30. 30 Merits of the Agent-based model
  31. 31 Agent Based Model
  32. 32 Original reaction-diffusion model
  33. 33 Diffusion from cell body Diffusion from cell projection
  34. 34 Representing the interaction profile by kernel
  35. 35 KT Model Simulator
  36. 36 Random Pattern Clear Field
  37. 37 [Demo]
  38. 38 KT model can generate standard patterns of the RD model
  39. 39 Inverted kernel make the waves with different wave length
  40. 40 Small change of the kernel cause the massive change of wave length
  41. 41 The kernel shape does not affect to the resulting pattern.
  42. 42 Nested patterns in simulation and in fish
  43. 43 Merits of the KT model
  44. 44 Periodic patterns in organisms
  45. 45 Zebra vs Horse

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