# Deep learning with convolutional neural networks for EEG decoding and visualization

## TL;DR

This paper explores the application of deep convolutional neural networks for decoding EEG signals and visualizing neural activity, providing a novel approach to brain signal analysis with available code for reproducibility.

## Contribution

It introduces a deep learning framework specifically designed for EEG decoding and visualization, advancing the methodology beyond traditional techniques.

## Key findings

- Improved accuracy in EEG decoding tasks
- Effective visualization of neural activity patterns
- Open-source code for reproducibility

## Abstract

PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary.wiley.com/doi/10.1002/hbm.23730/full Code available here: https://github.com/robintibor/braindecode