Skip to content

styvesg/imagery-master

Repository files navigation

Generative feedback explains distinct brain activity codes for seen and mental images

Notebooks and code

gabor_fwrf_model_training

A notebook to train the model parameters with k-fold validation for vision and imagery components of the experiment.

Input:

  • Stimuli.h5py
  • Stimuli_metadata.pkl
  • Voxels.h5py
  • Voxels_metadata.pkl

Produces a model parameter file:

  • fwrf_{subject}_{timestamp}_data.pkl

linear_brain_model

Create a linear brain model from a set of structural prescriptions and perform vision and imagery-hypothetized inference from different area and explore its effects.

Produces:

  • Figures

About

Notebooks and code relating to "Generative feedback explains distinct brain activity codes for seen and mental images"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors