Analysis of a 2D neuron model: Constant input

This lecture covers the analysis of a 2D neuron model with constant input, focusing on the FitzHugh-Nagumo model. Topics include the stability of fixed points, type I and II neuron models, and nonlinear integrate-and-fire models. The lecture explores the behavior of the neuron model under different input conditions, such as pulse and constant input, and discusses the concept of nullclines and their role in determining firing thresholds and repetitive firing patterns.