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Learning Representations from EEG with Deep Recurrent-Convolutional
  Neural Networks

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

19 November 2015
P. Bashivan
Irina Rish
M. Yeasin
Noel Codella
ArXivPDFHTML

Papers citing "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks"

40 / 40 papers shown
Title
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Yifei Zhou
Sitong Liu
49
0
0
09 Aug 2024
Two Heads are Better than One: A Bio-inspired Method for Improving
  Classification on EEG-ET Data
Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
Eric Modesitt
Ruiqi Yang
Qi Liu
24
3
0
25 Mar 2023
Impact of dataset size and long-term ECoG-based BCI usage on deep
  learning decoders performance
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
Maciej Śliwowski
Matthieu Martin
Antoine Souloumiac
P. Blanchart
T. Aksenova
29
6
0
08 Sep 2022
EEG4Students: An Experimental Design for EEG Data Collection and Machine
  Learning Analysis
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis
Guangyao Dou
Zheng Zhou
OOD
31
1
0
24 Aug 2022
Convolutional Neural Networks with A Topographic Representation Module
  for EEG-Based Brain-Computer Interfaces
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
Xinbin Liang
Yaru Liu
Yang Yu
Kaixuan Liu
Yadong Liu
Zongtan Zhou
13
0
0
23 Aug 2022
Neural Encoding of Songs is Modulated by Their Enjoyment
Neural Encoding of Songs is Modulated by Their Enjoyment
Gulshan Sharma
Pankaja Pandey
Ramanathan Subramanian
Krishna P. Miyapuram
Abhinav Dhall
19
3
0
13 Aug 2022
BrainActivity1: A Framework of EEG Data Collection and Machine Learning
  Analysis for College Students
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students
Zheng Zhou
Guangyao Dou
Xiaodong Qu
21
12
0
27 Jul 2022
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users
Guangyao Dou
Zheng Zhou
Xiaodong Qu
34
17
0
26 Jul 2022
EEG2Vec: Learning Affective EEG Representations via Variational
  Autoencoders
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders
David Bethge
Philipp Hallgarten
T. Große-Puppendahl
Mohamed Kari
L. Chuang
Ozan Özdenizci
Albrecht Schmidt
DRL
27
27
0
16 Jul 2022
Where Is My Mind (looking at)? Predicting Visual Attention from Brain
  Activity
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
V. Delvigne
Noé Tits
L. L. Fisca
Nathan Hubens
Antoine Maiorca
H. Wannous
Thierry Dutoit
Jean-Philippe Vandeborre
19
0
0
11 Jan 2022
A Saliency based Feature Fusion Model for EEG Emotion Estimation
A Saliency based Feature Fusion Model for EEG Emotion Estimation
V. Delvigne
Antoine Facchini
H. Wannous
Thierry Dutoit
L. Ris
Jean-Philippe Vandeborre
16
9
0
11 Jan 2022
Positional-Spectral-Temporal Attention in 3D Convolutional Neural
  Networks for EEG Emotion Recognition
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition
Jiyao Liu
Yanxin Zhao
Hao Wu
Dengyang Jiang
3DPC
29
18
0
13 Oct 2021
Spatial-temporal Transformers for EEG Emotion Recognition
Spatial-temporal Transformers for EEG Emotion Recognition
Jiyao Liu
Hao Wu
Li Zhang
Yanxi Zhao
35
48
0
13 Oct 2021
Decoding ECoG signal into 3D hand translation using deep learning
Decoding ECoG signal into 3D hand translation using deep learning
Maciej Śliwowski
Matthieu Martin
Antoine Souloumiac
P. Blanchart
T. Aksenova
25
27
0
05 Oct 2021
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli
  Classification
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
Subhranil Bagchi
Deepti R. Bathula
ViT
26
10
0
08 Jul 2021
Universal Physiological Representation Learning with Soft-Disentangled
  Rateless Autoencoders
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
Mo Han
Ozan Özdenizci
T. Koike-Akino
Ye Wang
Deniz Erdogmus
OOD
AAML
DRL
27
10
0
28 Sep 2020
EnK: Encoding time-information in convolution
EnK: Encoding time-information in convolution
Avinash Kumar Singh
Chin-Teng Lin
6
1
0
07 Jun 2020
Neural Memory Networks for Seizure Type Classification
Neural Memory Networks for Seizure Type Classification
David Ahmedt-Aristizabal
Tharindu Fernando
Simon Denman
L. Petersson
Matthew J. Aburn
Clinton Fookes
22
52
0
10 Dec 2019
Bias Remediation in Driver Drowsiness Detection systems using Generative
  Adversarial Networks
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks
Mkhuseli Ngxande
J. Tapamo
Michael G. Burke
33
38
0
10 Dec 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based
  Brain-Computer Interfaces
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces
Xue Jiang
Xiao Zhang
Dongrui Wu
AAML
21
16
0
07 Nov 2019
On Assessing Driver Awareness of Situational Criticalities: Multi-modal
  Bio-sensing and Vision-based Analysis, Evaluations, and Insights
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations, and Insights
Siddharth Siddharth
Mohan M. Trivedi
32
11
0
30 Sep 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong
Di Wang
Chunyan Miao
39
514
0
18 Jul 2019
Recognition of Advertisement Emotions with Application to Computational
  Advertising
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla
Shruti Shriya Gullapuram
Harish Katti
Mohan Kankanhalli
Stefan Winkler
Subramanian Ramanathan
26
27
0
03 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Xiao Zhang
Dongrui Wu
AAML
24
82
0
31 Mar 2019
Transfer Learning in Brain-Computer Interfaces with Adversarial
  Variational Autoencoders
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
Ozan Özdenizci
Ye Wang
T. Koike-Akino
Deniz Erdogmus
OOD
DRL
18
59
0
17 Dec 2018
DOSED: a deep learning approach to detect multiple sleep micro-events in
  EEG signal
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
35
60
0
07 Dec 2018
Convolutional Neural Network Approach for EEG-based Emotion Recognition
  using Brain Connectivity and its Spatial Information
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information
Seong-Eun Moon
Soobeom Jang
Jong-Seok Lee
18
89
0
12 Sep 2018
Multimodal Classification with Deep Convolutional-Recurrent Neural
  Networks for Electroencephalography
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Chuanqi Tan
F. Sun
Wenchang Zhang
Jianhua Chen
Chunfang Liu
18
41
0
24 Jul 2018
Hierarchical Attention-Based Recurrent Highway Networks for Time Series
  Prediction
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction
Yunzhe Tao
Lin Ma
Weizhong Zhang
Jian-Dong Liu
Wen Liu
Q. Du
AI4TS
19
25
0
02 Jun 2018
Adaptive neural network classifier for decoding MEG signals
Adaptive neural network classifier for decoding MEG signals
I. Zubarev
Rasmus Zetter
Hanna-Leena Halme
L. Parkkonen
24
46
0
28 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser
Ari S. Benjamin
Roozbeh Farhoodi
Konrad Paul Kording
18
114
0
21 May 2018
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural
  Networks
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks
J. Dakka
P. Bashivan
Mina Gheiratmand
Irina Rish
S. Jha
Russell Greiner
35
50
0
01 Dec 2017
Applications of Deep Learning and Reinforcement Learning to Biological
  Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
S. Vassanelli
OffRL
AI4CE
41
641
0
10 Nov 2017
Attend and Diagnose: Clinical Time Series Analysis using Attention
  Models
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan-Zhi Song
Deepta Rajan
Jayaraman J. Thiagarajan
A. Spanias
MLAU
52
447
0
10 Nov 2017
Convolutional Recurrent Neural Networks for Electrocardiogram
  Classification
Convolutional Recurrent Neural Networks for Electrocardiogram Classification
Martin Zihlmann
Dmytro Perekrestenko
Michael Tschannen
19
215
0
17 Oct 2017
SLEEPNET: Automated Sleep Staging System via Deep Learning
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal
Joshua A. Kulas
Haoqi Sun
B. Goparaju
M. P. M. Brandon Westover
M. Bianchi
Jimeng Sun
MLAU
20
136
0
26 Jul 2017
Deep Learning Human Mind for Automated Visual Classification
Deep Learning Human Mind for Automated Visual Classification
C. Spampinato
S. Palazzo
I. Kavasidis
Daniela Giordano
M. Shah
Nasim Souly
16
224
0
01 Sep 2016
Learning Robust Features using Deep Learning for Automatic Seizure
  Detection
Learning Robust Features using Deep Learning for Automatic Seizure Detection
Pierre Thodoroff
Joelle Pineau
Andrew Lim
OOD
18
291
0
31 Jul 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent
  Networks
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
Adam S. Charles
Dong Yin
Christopher Rozell
GNN
33
20
0
26 May 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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