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
ZPE-Neuro V0.0: DETERMINISTIC NEURAL SIGNAL CODEC: Extracellular Spikes | Neuropixels | DANDI-Anchored | IBL Validated | Spike Train Transport
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"
Statistical analysis of neural spike trains using Poisson processes, including ISI distributions and firing rate estimation.
Capstone Project for course STA 141A at University of California, Davis
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Spike-train statistics (firing rate, CV, CV2, Fano factor, local variation Lv and LvR) in pure Python with zero dependencies.
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