nSTAT Python Documentation

Standalone Python documentation for the release-ready nSTAT port.

• Neural Spike Train Analysis Toolbox (nSTAT)
  • Documentation Navigation
  • Key Capabilities
  • Citation
  • Lab Websites
• Paper-Aligned Toolbox Map
  • Class Hierarchy and Object Model
  • Fitting and Assessment Workflow
  • Simulation Workflow
  • State-Space GLM (SSGLM) Workflow
  • Decoding Workflow
  • Signal Processing Methods
  • Example-to-Paper Section Mapping
• Class Definitions
  • Signal and Covariate Primitives
  • Spiking Data Structures
  • Experiment and Configuration Objects
  • Modeling and Inference
• Example Index
  • Class and Object Workflows
  • Fitting, Assessment, and Analysis
  • Simulation and Example-Data Analyses
  • Decoding and Network Workflows
  • Consolidated Paper Workflow
  • Supplementary (README) Examples
• Documentation Setup
  • Install and Configure
  • Build and Refresh the Search Database
  • Documentation Entry Points
  • Troubleshooting
• API Reference
• Data Installation
  • Command line
  • Python API
  • MATLAB-compatible paper-data helper
  • Notes
• nSTAT Python Paper Examples
  • Run Everything
  • Example Index
  • Gallery