EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

23 November 2016

Vernon J. Lawhern

Amelia J. Solon

Nicholas R. Waytowich

Papers citing "EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces"

37 / 37 papers shown

Title
SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding Hongbin Wang Zhihong Jia Yuanzhong Shen Ziwei Wang Siyang Li Kai Shu Feng Hu Dongrui Wu 13 0 0 26 May 2025
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding Minxu Liu Donghai Guan Chuhang Zheng Chunwei Tian Jie Wen Qi Zhu 37 0 0 18 May 2025
Pretraining Large Brain Language Model for Active BCI: Silent Speech Jinzhao Zhou Zehong Cao Yiqun Duan Connor Barkley Daniel Leong ... Ziyi Zhao T. Do Yu-Cheng Chang Sheng-Fu Liang Chin-Teng Lin 58 1 0 29 Apr 2025
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond Shreya Shukla Jose Torres Abhijit Mishra Jacek Gwizdka Shounak Roychowdhury 70 0 0 20 Feb 2025
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding Ji-Ha Park Seo-Hyun Lee Soowon Kim Seong-Whan Lee 92 0 0 28 Jan 2025
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification Chuhan Zhang Wei Pan Cosimo Della Santina 58 0 0 28 Jan 2025
Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding Yueyang Li Zijian Kang Shengyu Gong Wenhao Dong Weiming Zeng Hongjie Yan W. Siok Nizhuan Wang 82 2 0 23 Dec 2024
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier Maryam Ostadsharif Memar Navid Ziaei Behzad Nazari Ali Yousefi 55 0 0 12 Aug 2024
Partial Label Learning for Emotion Recognition from EEG Guangyi Zhang Ali Etemad 64 2 0 25 Feb 2023
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 261 2,248 0 24 Jun 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 82 3,848 0 10 Apr 2017
Deep learning with convolutional neural networks for EEG decoding and visualization Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas Dominique Josef Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball 35 1,924 0 15 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 745 14,454 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 576 36,599 0 25 Aug 2016
Learning Robust Features using Deep Learning for Automatic Seizure Detection Pierre Thodoroff Joelle Pineau Andrew Lim OOD 40 292 0 31 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 290 18,300 0 27 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 112 2,338 0 09 May 2016
Interpretable Deep Neural Networks for Single-Trial EEG Classification I. Sturm Sebastian Bach Wojciech Samek K. Müller 44 353 0 27 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 420 16,765 0 16 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 186 5,502 0 23 Nov 2015
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks P. Bashivan Irina Rish M. Yeasin Noel Codella 52 663 0 19 Nov 2015
Deep Feature Learning for EEG Recordings Sebastian Stober Avital Sternin A. Owen Jessica A. Grahn 34 131 0 13 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 249 43,154 0 11 Feb 2015
Deep Fried Convnets Zichao Yang Marcin Moczulski Misha Denil Nando de Freitas Alex Smola Le Song Ziyu Wang 61 267 0 22 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 577 149,474 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 144 4,653 0 21 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 117 3,261 0 05 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 262 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 740 99,991 0 04 Sep 2014
A Plug&Play P300 BCI Using Information Geometry A. Barachant M. Congedo 29 136 0 30 Aug 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 151 16,311 0 30 Apr 2014
Deep learning for neuroimaging: a validation study Sergey Plis R. Devon Hjelm Ruslan Salakhutdinov Vince D. Calhoun AI4CE 63 573 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 208 15,825 0 12 Nov 2013
A New Generation of Brain-Computer Interface Based on Riemannian Geometry M. Congedo A. Barachant Anton Andreev 30 94 0 30 Oct 2013
Brain Computer Interface Technologies in the Coming Decades Brent Lance S. Kerick Anthony J. Ries Kelvin S. Oie K. McDowell 39 202 0 05 Nov 2012
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 77 1,098 0 06 Dec 2009