Cargando…
Classification for Memory Activities: Experiments and EEG Analysis Based on Networks Constructed via Phase-Locking Value
Electroencephalogram (EEG) plays a crucial role in the study of working memory, which involves the complex coordination of brain regions. In this research, we designed and conducted series of experiments of memory with various memory loads or target forms and collected behavioral data as well as 32-...
Autores principales: | Xi, Jing, Huang, Xiao-Lin, Dang, Xing-Yan, Ge, Bin-Bin, Chen, Ying, Ge, Yun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256324/ https://www.ncbi.nlm.nih.gov/pubmed/35799656 http://dx.doi.org/10.1155/2022/3878771 |
Ejemplares similares
-
Quantitative High Density EEG Brain Connectivity Evaluation in Parkinson’s Disease: The Phase Locking Value (PLV)
por: di Biase, Lazzaro, et al.
Publicado: (2023) -
Seizure Prediction and Detection via Phase and Amplitude Lock Values
por: Myers, Mark H., et al.
Publicado: (2016) -
EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
por: Dai, Jinxiao, et al.
Publicado: (2022) -
Identification of memory reactivation during sleep by EEG classification
por: Belal, Suliman, et al.
Publicado: (2018) -
Visual Feature Integration Indicated by pHase-Locked Frontal-Parietal EEG Signals
por: Phillips, Steven, et al.
Publicado: (2012)