Python implementation of "Parameters for burst detection"
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Updated
Sep 10, 2023 - Python
Python implementation of "Parameters for burst detection"
🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood
Scripts and data used for the publication "Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity"
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.
Capstone Project for course STA 141A at University of California, Davis
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.
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