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  • GitHub Repository
  • Home
  • Installation
  • Tutorials
  • WebUI
    • WebUI Reference
    • Configuration Reference
    • Simulation Pipeline
    • 1. Simulate a LIF Network
    • 2. Compute Field Potentials
    • 3. Feature Extraction
    • 4. Inverse Model Training
    • 5. Compute Predictions
    • Empirical Dataset Analysis
    • 1. Load Empirical Data, Extract Features, and Compute Predictions
    • 2. Plot Empirical Results
  • Jupyter
    • Simulation Pipeline
    • 1. Simulate a LIF Network
    • 2. Compute Field Potentials
    • 3. Feature Extraction
    • 4 - Training an Inverse Model and Computing Predictions
    • Empirical Dataset Analysis
    • 1. Load Empirical Data, Extract Features, and Compute Predictions
  • Datasets
  • API
  • Contributing
  • Citation
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Python Jupyter Tutorials Index

These Jupyter notebooks reproduce the functionality demonstrated in the WebUI tutorials using Python scripts. They provide programmable versions of the simulation and empirical-data workflows.

Simulation Pipeline

  1. Simulate a LIF Network
  2. Compute Field Potentials
  3. Feature Extraction
  4. Training an Inverse Model and Computing Predictions

Empirical Dataset Analysis

  1. Load Empirical Data, Extract Features, and Compute Predictions

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On This Page

  • Jupyter Tutorials
  • Simulation Pipeline
  • Empirical Dataset Analysis