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Statistical Models for Neural Data: From GLMs to Latent Variables (Part 1)

Difficulty level

This lesson is part 1 of 2 of a tutorial on statistical models for neural data.

Topics covered in this lesson
  • Introduction to the neural coding problem: how are stimuli and actions encoded in neural activity?
  • What aspects of neural activity carry information?
  • Regression models, latent variable models: aim to capture hidden structure underlying neural activity
  • Model fitability/tractability vs richness and flexibility, finding a "sweet spot" in between