Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Brain activity is driven, in part, by external stimuli and demands, but internal brain states also change over time. Here, the authors use a novel Bayesian algorithm to track dynamic transitions between hidden neural states in human brain activity and to relate brain dynamics with behavior.
Guardado en:
Autores principales: | Jalil Taghia, Weidong Cai, Srikanth Ryali, John Kochalka, Jonathan Nicholas, Tianwen Chen, Vinod Menon |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9ce704001700410ba12df08bad3fad55 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dynamic causal brain circuits during working memory and their functional controllability
por: Weidong Cai, et al.
Publicado: (2021) -
Aberrant dynamics of cognitive control and motor circuits predict distinct restricted and repetitive behaviors in children with autism
por: Kaustubh Supekar, et al.
Publicado: (2021) -
Uncovering and tailoring hidden Rashba spin–orbit splitting in centrosymmetric crystals
por: Linding Yuan, et al.
Publicado: (2019) -
The hidden waves in the ECG uncovered revealing a sound automated interpretation method
por: Cristina Rueda, et al.
Publicado: (2021) -
Uncovering topographically hidden features in 2D MoSe2 with correlated potential and optical nanoprobes
por: David Moore, et al.
Publicado: (2020)