Single Neuron Models - I
Single Neuron Models - I
This lesson provides an introduction to modeling single neurons, as well as stability analysis of neural models.
Topics covered in this lesson
- Basic introduction to neurons, ionic conductances, synapses and neurotransmitters
- Dale's principle
- Equivalent circuit model for a membrane
- Nernst equation
- The action potential
- Hodgkin-Huxley model
- Steady-state I-V curve
External Links
Prerequisites
Some familiarity with the electrical properties of neurons, for instance the (longer) introductory lectures in Cellular Mechanisms of Brain Function or the (shorter) tutorial series on Basic Mathematics for Computational Neuroscience. Knowledge of differential equations. Some familiarity with dynamical systems concepts and/or linear algebra (stability, equilibrium, matrices, finding eigenvalues).
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