Cargando…
Decoding P300 Variability Using Convolutional Neural Networks
Deep convolutional neural networks (CNN) have previously been shown to be useful tools for signal decoding and analysis in a variety of complex domains, such as image processing and speech recognition. By learning from large amounts of data, the representations encoded by these deep networks are oft...
Autores principales: | Solon, Amelia J., Lawhern, Vernon J., Touryan, Jonathan, McDaniel, Jonathan R., Ries, Anthony J., Gordon, Stephen M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587927/ https://www.ncbi.nlm.nih.gov/pubmed/31258469 http://dx.doi.org/10.3389/fnhum.2019.00201 |
Ejemplares similares
-
Isolating Discriminant Neural Activity in the Presence of Eye Movements and Concurrent Task Demands
por: Touryan, Jon, et al.
Publicado: (2017) -
The effect of target and non-target similarity on neural classification performance: a boost from confidence
por: Marathe, Amar R., et al.
Publicado: (2015) -
A Lightweight Multi-Scale Convolutional Neural Network for P300 Decoding: Analysis of Training Strategies and Uncovering of Network Decision
por: Borra, Davide, et al.
Publicado: (2021) -
During natural viewing, neural processing of visual targets continues throughout saccades
por: Stankov, Atanas D., et al.
Publicado: (2021) -
EEG and Eye Tracking Signatures of Target Encoding during Structured Visual Search
por: Brouwer, Anne-Marie, et al.
Publicado: (2017)