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Introduction to Neural Data Analysis

  • Introduction to Neural Data Analysis
  • Introduction to Python
    • Basic Programming in Python: Data Structures
    • Case Study: Nested Data Structures
    • Patterns, functions, and duck typing
    • Working with Array Data
    • Introduction to Data Frames
  • Point process data
    • A little point process theory
    • Estimating Poisson processes
    • The peri-stimulus time histogram
    • Exploring neural spike data
    • Analyzing neural spike data
  • Tabular data
    • Exploring table data
    • Analyzing table data
  • Image data
    • Exploring Image data
    • Analyzing Image data
  • Debugging
    • Debugging Practicum I
    • Debugging Practicum II
  • Modeling neural data
    • Fitting basic models
    • Fitting simulated models
  • Bibliography
  • Repository
  • Open issue

Index

By John Pearson

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