Poisson Processes for Neuroscientists
نویسنده
چکیده
This note is an introduction to the key properties of Poisson processes, which are extensively used to simulate spike trains. For being mathematical idealizations, Poisson processes rely on some simplifying assumptions that limit their scope of application. The best way to understand these limitations is perhaps by constructing the Poisson process gradually starting from the intuitively clear situation of independent spiking in a finite number of time bins. After following this approach to define Poisson processes, we conclude by discussing various methods to simulate Poisson processes numerically.
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تاریخ انتشار 2018