Python script simulates neural spike train data with a fixed random seed for reproducibility. It visualizes the spike train, computes inter-spike intervals (ISI), and estimates the firing rate.

Python script simulates neural spike train data using a Poisson process. It visualizes the spike train and calculates inter-spike intervals (ISI) and firing rate to analyze neuronal firing patterns.