Basic model building and training

Examples introducing fundamental model building and training strategies.

Simple training on MNE epochs

Simple training on MNE epochs

Cleaning EEG Data with EEGPrep for Trialwise Decoding

Cleaning EEG Data with EEGPrep for Trialwise Decoding

Cropped Decoding on BCIC IV 2a Dataset

Cropped Decoding on BCIC IV 2a Dataset

Basic Brain Decoding on EEG Data

Basic Brain Decoding on EEG Data

Loading Pretrained Foundation Models on Arbitrary Channel Sets

Loading Pretrained Foundation Models on Arbitrary Channel Sets

How to train, test and tune your model?

How to train, test and tune your model?

Hyperparameter tuning with scikit-learn

Hyperparameter tuning with scikit-learn

Loading and Adapting Pretrained Foundation Models

Loading and Adapting Pretrained Foundation Models

Comprehensive Preprocessing with MNE-based Classes

Comprehensive Preprocessing with MNE-based Classes

Convolutional neural network regression model on fake data.

Convolutional neural network regression model on fake data.

Training a Braindecode model in PyTorch

Training a Braindecode model in PyTorch