Cargando…
Brain Network Constancy and Participant Recognition: an Integrated Approach to Big Data and Complex Network Analysis
With the development of big data sharing and data standardization, electroencephalogram (EEG) data are increasingly used in the exploration of human cognitive behavior. Most of the existing studies focus on the changes of human brain network topology (the number of connections, degree distribution,...
Autores principales: | Qiu, Lu, Nan, Wenya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7283910/ https://www.ncbi.nlm.nih.gov/pubmed/32581918 http://dx.doi.org/10.3389/fpsyg.2020.01003 |
Ejemplares similares
-
Reflectance, illumination, and appearance in color constancy
por: McCann, John J., et al.
Publicado: (2014) -
Big data of complex networks
por: Dehmer, Matthias, et al.
Publicado: (2016) -
Big data in complex and social networks
por: Thai, My T, et al.
Publicado: (2016) -
Scaling the Variance of a Latent Variable While Assuring Constancy of the Model
por: Schweizer, Karl, et al.
Publicado: (2019) -
Research on Quantitative Model of Brand Recognition Based on Sentiment Analysis of Big Data
por: Zhou, Lichun
Publicado: (2022)