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

v1v2v3v4 (latest)

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

23 November 2016

Vernon J. Lawhern

Amelia J. Solon

Nicholas R. Waytowich

Stephen M. Gordon

ArXiv (abs)PDF HTML

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

50 / 506 papers shown

Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding

Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding

Olivier Oullier

204

1

0

02 Dec 2025

Parallel Delayed Memory Units for Enhanced Temporal Modeling in Biomedical and Bioacoustic Signal Analysis

Parallel Delayed Memory Units for Enhanced Temporal Modeling in Biomedical and Bioacoustic Signal AnalysisIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025

Dick Botteldooren

141

1

0

01 Dec 2025

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding

130

0

0

29 Nov 2025

Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation

Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation

165

0

0

27 Nov 2025

Deep Learning Architectures for Code-Modulated Visual Evoked Potentials Detection

Deep Learning Architectures for Code-Modulated Visual Evoked Potentials Detection

67

0

0

26 Nov 2025

Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics

Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics

Oiwi Parker Jones

303

0

0

25 Nov 2025

Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery

Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery

Sanjeev Manivannan

Chandrashekar Lakshminarayan

140

0

0

24 Nov 2025

Accelerating Reinforcement Learning via Error-Related Human Brain Signals

Accelerating Reinforcement Learning via Error-Related Human Brain Signals

238

0

0

24 Nov 2025

ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds

ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds

144

0

0

20 Nov 2025

EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts

EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts

233

0

0

19 Nov 2025

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control

96

0

0

18 Nov 2025

Uncertainty-Resilient Multimodal Learning via Consistency-Guided Cross-Modal Transfer

Uncertainty-Resilient Multimodal Learning via Consistency-Guided Cross-Modal Transfer

137

0

0

18 Nov 2025

Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration

Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration

170

0

0

11 Nov 2025

Confidence-Aware Neural Decoding of Overt Speech from EEG: Toward Robust Brain-Computer Interfaces

Confidence-Aware Neural Decoding of Overt Speech from EEG: Toward Robust Brain-Computer Interfaces

213

0

0

11 Nov 2025

Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding

Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding

Byoung-Hee Kwon

214

0

0

11 Nov 2025

NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment

NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic AlignmentInternational Conference on Learning Representations (ICLR), 2025

124

3

0

10 Nov 2025

EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning

EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning

132

0

0

08 Nov 2025

Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment

Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment

159

0

0

06 Nov 2025

Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet

Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet

Mohd Ruhul Ameen

Md Ekramul Hamid

98

0

0

01 Nov 2025

Leveraging Generic Time Series Foundation Models for EEG Classification

Leveraging Generic Time Series Foundation Models for EEG Classification

Théo Gnassounou

Vasilii Feofanov

140

2

0

31 Oct 2025

Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection

Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection

80

0

0

29 Oct 2025

EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding

EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding

Shantanu Sarkar

Piotr Nabrzyski

Jose Luis Contreras-Vidal

108

0

0

26 Oct 2025

LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis

LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis

162

6

0

25 Oct 2025

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

Yassine El Ouahidi

Nicolas Farrugia

Bastien Pasdeloup

186

14

0

24 Oct 2025

Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification

Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification

132

0

0

24 Oct 2025

Elementary, My Dear Watson: Non-Invasive Neural Keyword Spotting in the LibriBrain Dataset

Elementary, My Dear Watson: Non-Invasive Neural Keyword Spotting in the LibriBrain Dataset

Oiwi Parker Jones

215

2

0

23 Oct 2025

Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification

Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification

HM Shadman Tabib

Md. Hasnaen Adil

Ahmmad Nur Swapnil

Maoyejatun Hasana

Ahmed Hossain Chowdhury

110

0

0

22 Oct 2025

RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification

RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification

Giuseppe Bonomo

Rosario Sorbello

Ilenia Tinnirello

97

0

0

22 Oct 2025

Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization

Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization

...

Cecilia Mascolo

158

0

0

22 Oct 2025

NeurIPT: Foundation Model for Neural Interfaces

NeurIPT: Foundation Model for Neural Interfaces

150

7

0

18 Oct 2025

Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding

Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding

Shuntaro Suzuki

Shunya Nagashima

Masayuki Hirata

99

1

0

17 Oct 2025

NeuroRVQ: Multi-Scale EEG Tokenization for Generative Large Brainwave Models

NeuroRVQ: Multi-Scale EEG Tokenization for Generative Large Brainwave Models

Konstantinos Barmpas

Alexandros Koliousis

Yannis Panagakis

Dimitrios A. Adamos

Stefanos Zafeiriou

228

4

0

15 Oct 2025

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks

Anna Zilverstand

130

2

0

13 Oct 2025

Bidirectional Time-Frequency Pyramid Network for Enhanced Robust EEG Classification

Bidirectional Time-Frequency Pyramid Network for Enhanced Robust EEG Classification

485

0

0

11 Oct 2025

MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths

MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths

199

4

0

10 Oct 2025

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts

Nathan Quiblier

83

1

0

10 Oct 2025

NorMuon: Making Muon more efficient and scalable

NorMuon: Making Muon more efficient and scalable

114

0

0

07 Oct 2025

Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals

Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals

Adithi Katikhaneni

Baibhab Chatterjee

92

0

0

07 Oct 2025

Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling

Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling

Parham Eftekhar

Xujin "Chris" Liu

352

0

0

03 Oct 2025

LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

...

144

2

0

29 Sep 2025

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning

312

5

0

29 Sep 2025

Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG

Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG

215

0

0

29 Sep 2025

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models

ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models

117

3

0

26 Sep 2025

BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning

BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning

175

0

0

26 Sep 2025

Graph Variate Neural Networks

Graph Variate Neural Networks

Yashar Moshfeghi

161

0

0

24 Sep 2025

CoSupFormer : A Contrastive Supervised learning approach for EEG signal Classification

CoSupFormer : A Contrastive Supervised learning approach for EEG signal Classification

134

1

0

24 Sep 2025

Online Adaptation via Dual-Stage Alignment and Self-Supervision for Fast-Calibration Brain-Computer Interfaces

Online Adaptation via Dual-Stage Alignment and Self-Supervision for Fast-Calibration Brain-Computer Interfaces

140

0

0

23 Sep 2025

SingLEM: Single-Channel Large EEG Model

SingLEM: Single-Channel Large EEG Model

Jamiyan Sukhbaatar

Satoshi Imamura

Kazi Mahmudul Hassan

Ingon Chanpornpakdi

Toshihisa Tanaka

266

1

0

22 Sep 2025

IEFS-GMB: Gradient Memory Bank-Guided Feature Selection Based on Information Entropy for EEG Classification of Neurological Disorders

IEFS-GMB: Gradient Memory Bank-Guided Feature Selection Based on Information Entropy for EEG Classification of Neurological Disorders

166

0

0

18 Sep 2025

ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals

ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals

Mohammad Alijanpour

Ali Motie Nasrabadi

122

1

0

10 Sep 2025

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