Dynamics on Networks 1

  1. Dynamics on networks:
    • Node variables evolving according to inputs from connected nodes
    • Examples—Chemical flux balance equations, Neural networks
    • Possible collective outcomes: fixed points, temporal oscillations, spatial patterns, …
  2. Time indedpendent steady-states:
  3. Stability of Fixed Points:
  4. Biochemical clocks:
  5. Synchronization:

Some Related Links

Neural Networks

Biological Clocks

(Detailed Lecture Notes (This resource may not render correctly in a screen reader.PDF))