A Simple Sodium - Potassium Gate Model

Jim Peterson

• Biological Information Processing
• The Basic Hodgkin - Huxley Model:
  • Activation and Inactivation Variables:
  • The Hodgkin-Huxley Sodium and Potassium Model:
    • Encoding The Dynamics:
    • Computing the Solution Numerically:
      • Estimating The Solution Numerically:
      • Some Detailed Error Estimates:
      • Runge-Kutta Methods:
  • The Koch Modified Sodium/ Potassium Model:
  • Hodgkin-Huxley Simulation Code:
    • C++ Simulation Code: Hodgkin - Huxley
      • function.c:
      • rest.c:
    • C++ Code: The Run-Time Code:
      • run_plot.c:
      • rkf5_plot.c:
      • Run-time Results:
    • MatLab Simulation Code:
      • SolveSimpleHH.m
      • simpleHH.m
      • HHFixedRK.m
      • HHRKstep.m
      • RunTime Results:
• Using Neural Networks to Model Biological Objects:
  • A Neural Network to Model An Action Pulse:
    • Prior To Training:
    • Neural Network Output versus The Targets:
    • Neural Network Output versus The Targets: Testing
  • Neural Models of Gates:
    • Using Neural Models in the Axon Pulse Generation:
• References

This document was translated from L^AT_EX by H^EV^EA and H^AC^HA.