EESCN: A novel spiking neural network method for EEG-based emotion recognition

Feifan Xu; Deng Pan; Haohao Zheng; Yu Ouyang; Zhe Jia; Hong Zeng

doi:10.1016/j.cmpb.2023.107927

ScienceGate Book Chapters

JOURNAL ARTICLE

EESCN: A novel spiking neural network method for EEG-based emotion recognition

Feifan Xu Deng Pan Haohao Zheng Yu Ouyang Zhe Jia Hong Zeng

Year: 2023 Journal: Computer Methods and Programs in Biomedicine Vol: 243 Pages: 107927-107927 Publisher: Elsevier BV

DOI: 10.1016/j.cmpb.2023.107927

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Electroencephalography Robustness (evolution) Interpretability Artificial intelligence Software portability Neuromorphic engineering Pattern recognition (psychology) Spiking neural network Emotion recognition Artificial neural network Speech recognition Machine learning

Metrics

Cited By

17.67

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

EESCN: A novel spiking neural network method for EEG-based emotion recognition

Metrics

Citation History

Topics

Related Documents

An EEG emotion recognition method based on shallow feedback spiking neural network

Fractal Spiking Neural Network Scheme for EEG-Based Emotion Recognition

Spiking Spatiotemporal Neural Architecture Search for EEG-Based Emotion Recognition

Speech emotion recognition based on spiking neural network and convolutional neural network

EEGSNet: A novel EEG cognitive recognition model using spiking neural network