Cargando…

Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks

Robust cross-subject emotion recognition based on multichannel EEG has always been hard work. In this work, we hypothesize that there exist default brain variables across subjects in emotional processes. Hence, the states of the latent variables that relate to emotional processing must contribute to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Xiang, Zhao, Zhigang, Song, Dawei, Zhang, Yazhou, Pan, Jingshan, Wu, Lu, Huo, Jidong, Niu, Chunyang, Wang, Di
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061897/ https://www.ncbi.nlm.nih.gov/pubmed/32194367 http://dx.doi.org/10.3389/fnins.2020.00087

Ejemplares similares

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition
por: Li, Qi, et al.
Publicado: (2022)

Exploring EEG Features in Cross-Subject Emotion Recognition
por: Li, Xiang, et al.
Publicado: (2018)

Multi-channel EEG emotion recognition through residual graph attention neural network
por: Chao, Hao, et al.
Publicado: (2023)

EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
por: Liu, Junxiu, et al.
Publicado: (2020)

Multidimensional Feature in Emotion Recognition Based on Multi-Channel EEG Signals
por: Li, Qi, et al.
Publicado: (2022)

Neural decoding of music from the EEG
por: Daly, Ian
Publicado: (2023)

EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels
por: Phan, Tran-Dac-Thinh, et al.
Publicado: (2021)

Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition
por: Kim, Sungkyu, et al.
Publicado: (2022)

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
por: Xing, Xiaofen, et al.
Publicado: (2019)

Emotion recognition based on EEG features in movie clips with channel selection
por: Özerdem, Mehmet Siraç, et al.
Publicado: (2017)

Decoding Neural Responses to Motion-in-Depth Using EEG
por: Himmelberg, Marc M., et al.
Publicado: (2020)

Musical Emotions Recognition Using Entropy Features and Channel Optimization Based on EEG
por: Xie, Zun, et al.
Publicado: (2022)

Optimization of physical quantities in the autoencoder latent space
por: Park, S. M., et al.
Publicado: (2022)

Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network
por: Vafaei, Elnaz, et al.
Publicado: (2023)

EEG Emotion Recognition by Fusion of Multi-Scale Features
por: Du, Xiuli, et al.
Publicado: (2023)

Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder
por: An, Yanling, et al.
Publicado: (2021)

Deep learning with convolutional neural networks for EEG decoding and visualization
por: Schirrmeister, Robin Tibor, et al.
Publicado: (2017)

Deep Convolutional Neural Network for EEG-Based Motor Decoding
por: Zhang, Jing, et al.
Publicado: (2022)

EEG Decoding Reveals Neural Predictions for Naturalistic Material Behaviors
por: Kaiser, Daniel, et al.
Publicado: (2023)

Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition
por: Bao, Guangcheng, et al.
Publicado: (2021)

Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network
por: Li, Jingcong, et al.
Publicado: (2021)

Nuclear Norm Regularized Deep Neural Network for EEG-Based Emotion Recognition
por: Liang, Shuang, et al.
Publicado: (2022)

Decoding Emotion in Drug Abusers: Evidence for Face and Body Emotion Recognition and for Disgust Emotion
por: Bonfiglio, Natale Salvatore, et al.
Publicado: (2022)

Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network
por: Pei, Guangsheng, et al.
Publicado: (2020)

Interpretable Cross-Subject EEG-Based Emotion Recognition Using Channel-Wise Features(†)
por: Jin, Longbin, et al.
Publicado: (2020)

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition
por: Jia, Jingjing, et al.
Publicado: (2022)

Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals
por: Duan, Lijuan, et al.
Publicado: (2020)

Neural decoding of expressive human movement from scalp electroencephalography (EEG)
por: Cruz-Garza, Jesus G., et al.
Publicado: (2014)

Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
por: Saeidi, Maham, et al.
Publicado: (2021)

Decoding the neural signatures of valence and arousal from portable EEG headset
por: Garg, Nikhil, et al.
Publicado: (2022)

Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization
por: Fdez, Javier, et al.
Publicado: (2021)

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network
por: Pan, Bo, et al.
Publicado: (2021)

Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network
por: Chang, Hongli, et al.
Publicado: (2022)

Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition
por: Cheah, Kit Hwa, et al.
Publicado: (2021)

Emotion Recognition Using a Reduced Set of EEG Channels Based on Holographic Feature Maps
por: Topic, Ante, et al.
Publicado: (2022)

Introduction to EEG- and speech-based emotion recognition
por: Abhang, Priyanka A, et al.
Publicado: (2016)

Familiarity effects in EEG-based emotion recognition
por: Thammasan, Nattapong, et al.
Publicado: (2016)

Fusion Graph Representation of EEG for Emotion Recognition
por: Li, Menghang, et al.
Publicado: (2023)

Real-Time EEG-Based Emotion Recognition
por: Yu, Xiangkun, et al.
Publicado: (2023)

Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition
por: Tao, Jianwen, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3dfidft0toj8qcm4nvfk1tumat