Cargando…
Application of bidirectional long short-term memory network for prediction of cognitive age
Electroencephalography (EEG) measures changes in neuronal activity and can reveal significant changes from infancy to adulthood concomitant with brain maturation, making it a potential physiological marker of brain maturation and cognition. To investigate a promising deep learning tool for EEG class...
Autores principales: | Wong, Shi-Bing, Tsao, Yu, Tsai, Wen-Hsin, Wang, Tzong-Shi, Wu, Hsin-Chi, Wang, Syu-Siang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657465/ https://www.ncbi.nlm.nih.gov/pubmed/37980387 http://dx.doi.org/10.1038/s41598-023-47606-7 |
Ejemplares similares
-
Interpolating
Nonadiabatic Molecular Dynamics Hamiltonian
with Bidirectional Long Short-Term Memory Networks
por: Wang, Bipeng, et al.
Publicado: (2023) -
Automatic Recognition of Auditory Brainstem Response Characteristic Waveform Based on Bidirectional Long Short-Term Memory
por: Chen, Cheng, et al.
Publicado: (2021) -
Relation extraction in Chinese using attention-based bidirectional long short-term memory networks
por: Zhang, Yanzi
Publicado: (2023) -
Supervised Attention-Based
Bidirectional Long Short-Term
Memory Network for Nonlinear Dynamic Soft Sensor Application
por: Yang, Zeyu, et al.
Publicado: (2023) -
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
por: Zhang, Canlin, et al.
Publicado: (2019)