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Neural Spike Train Analysis (Randomly Simulated)

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

Features

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

About

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.

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