Cargando…
The relationship between frequency content and representational dynamics in the decoding of neurophysiological data
Decoding of high temporal resolution, stimulus-evoked neurophysiological data is increasingly used to test theories about how the brain processes information. However, a fundamental relationship between the frequency spectra of the neural signal and the subsequent decoding accuracy timecourse is not...
Autores principales: | Higgins, Cameron, van Es, Mats W.J., Quinn, Andrew J., Vidaurre, Diego, Woolrich, Mark W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565838/ https://www.ncbi.nlm.nih.gov/pubmed/35872176 http://dx.doi.org/10.1016/j.neuroimage.2022.119462 |
Ejemplares similares
-
Group‐level brain decoding with deep learning
por: Csaky, Richard, et al.
Publicado: (2023) -
Temporally Unconstrained Decoding Reveals Consistent but Time-Varying Stages of Stimulus Processing
por: Vidaurre, Diego, et al.
Publicado: (2019) -
Brain network dynamics are hierarchically organized in time
por: Vidaurre, Diego, et al.
Publicado: (2017) -
Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling
por: Quinn, Andrew J., et al.
Publicado: (2018) -
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
por: Vidaurre, Diego, et al.
Publicado: (2018)