MATLAB for Neuroscientists, 2nd Edition

Chapter 33

Modeling Spike Trains as a Poisson Process

This chapter focuses on point process models for characterizing and simulating trains of actions potentials generated by neurons. Initially, a simple homogeneous Poisson process model will be introduced to capture fundamental characteristics. Models with greater sophistication will be introduced to incorporate more complex activity, such as refractory periods and bursting.

Keywords

Poisson process model; event train; Bernoulli process; probability density function; scalar; Poisson distribution

33.1 Goals of this Chapter

This chapter focuses on point process models for characterizing and simulating trains of actions potentials generated by neurons. Initially, a simple homogeneous Poisson process ...