Tutorial

Welcome to the tutorial on braincoder and the encoding-decoding framework!

This tutorial will walk you through the basic steps of using braincoder to build encoding and decoding models.

We will use the braincoder package to build a simple encoding model and then use it to predict the voxel responses to a new stimulus. We will then build a decoding model and use it to predict the stimulus from the voxel activations.

Lessons

• Lesson 1: Encoding models
• Lesson 2: Linear encoding models
• Lesson 3: Building the likelihood (by fitting the covariance matrix)
• Lesson 4: From neural responses to stimulus features
• Lesson 5: Decoding noisy neural data
• Lesson 6: Decoding two-dimensional stimulus spaces
• Decode the marginal probability distribution
• Decode the conditional probability distribution
• The complex plane
• Lesson 7: Fitting PRF models to visual space