DecodingMagneto

Data

The data consists of MEG data from a single subject. The participant was presented with visual stimuli (118 different images).

The participant was subject to two different conditions:

• Condition 1: The participant was presented with the images and only had to attend to the images.
• Condition 2: The participant was presented with the images and had to perform a memory task.

Regardless of the condition, no behavioral data was collected.

Usage

1. Clone the repository
2. ??? download the data ???
3. Create environment and install dependencies

setup.sh

Project Organization

├── decoding
│   ├── condition                       <- Decoding between conditions (memory vs. no memory)
│   ├── cross_block                     <- Decoding across blocks
│   ├── cross_decoding                  <- Decoding across sessions
│   │    ├── accuracies                
│   │    │   ├── cross_decoding_10_LDA_aparc.npy       
│   │    │   └── ...
│   │    ├── plots                      
│   │    └── cross_decoding.py          
│   └── ica                             <- Decoding each session with and without ICA components removed
├── info_files                           
├── preprocessing        
├── utils                               <- Local modules
│   ├── __init__.py
│   ├── data                            <- Functions for loading and preparing the data for decoding
│   └── analysis                        <- Functions for decoding, plotting, etc
└── README.md                           <- The top-level README for this project.