Cargando…
Encoding and Decoding Models in Cognitive Electrophysiology
Cognitive neuroscience has seen rapid growth in the size and complexity of data recorded from the human brain as well as in the computational tools available to analyze this data. This data explosion has resulted in an increased use of multivariate, model-based methods for asking neuroscience questi...
Autores principales: | Holdgraf, Christopher R., Rieger, Jochem W., Micheli, Cristiano, Martin, Stephanie, Knight, Robert T., Theunissen, Frederic E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623038/ https://www.ncbi.nlm.nih.gov/pubmed/29018336 http://dx.doi.org/10.3389/fnsys.2017.00061 |
Ejemplares similares
-
Decoding spectrotemporal features of overt and covert speech from the human cortex
por: Martin, Stéphanie, et al.
Publicado: (2014) -
Rapid tuning shifts in human auditory cortex enhance speech intelligibility
por: Holdgraf, Christopher R., et al.
Publicado: (2016) -
A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain
por: Song, Yichen, et al.
Publicado: (2021) -
Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis
por: Martin, Stephanie, et al.
Publicado: (2018) -
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex
por: Min, Byoung-Kyong, et al.
Publicado: (2021)