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.
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.
This app is a web-based simulator for spiking neural networks built with Flask and Brian2. Users can configure neuron and network parameters, run simulations, and visualize results interactively or as static plots. It supports multiple neuron models and allows exporting simulation data.
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