Spike Train Simulation (Reproducible)

This project simulates neural spike train data randomly using a Poisson process, with the random seed fixed for reproducibility. It visualizes the spike train, calculates inter-spike intervals (ISI), and estimates the firing rate of a neuron.

Features

• Simulated Spike Train: Generates random spike times based on a Poisson process with a fixed random seed for reproducibility.
• ISI Histogram: Visualizes the distribution of time intervals between spikes.
• Firing Rate Calculation: Estimates the firing rate based on simulated spikes.

Sample Output

Raster Plot

ISI Histogram