An attention-based bi-LSTM method for visual object classification via EEG

X Zheng, W Chen - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Background and Objective Despite many models have been proposed for brain
visual perception and content understanding via electroencephalograms (EEGs), due to the …

Visual Attention Measurement Based on Electroencephalogram Feature Learning

J Chu, S Hu, Y Duan, X Tao - GLOBECOM 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
With the continuous development of multimedia technology, there is a growing demand for
video applications. Among the huge number of videos, some video clips attract higher visual …

Nuclear norm regularized deep neural network for EEG-based emotion recognition

S Liang, M Yin, Y Huang, X Dai, Q Wang - Frontiers in Psychology, 2022 - frontiersin.org
Electroencephalography (EEG) based emotion recognition enables machines to perceive
users' affective states, which has attracted increasing attention. However, most of the current …

Optimizing connectivity-driven brain parcellation using ensemble clustering

A Kurmukov, A Mussabaeva, Y Denisova… - Brain …, 2020 - liebertpub.com
This work addresses the problem of constructing a unified, topologically optimal connectivity-
based brain atlas. The proposed approach aggregates an ensemble partition from individual …

[图书][B] An Edge-Centric Perspective for Brain Network Communities

JI Faskowitz - 2021 - search.proquest.com
The brain is a complex system organized on multiple scales and operating in both a local
and distributed manner. Individual neurons and brain regions participate in specific …