Cargando…
Decoding Continuous Variables from Neuroimaging Data: Basic and Clinical Applications
The application of statistical machine learning techniques to neuroimaging data has allowed researchers to decode the cognitive and disease states of participants. The majority of studies using these techniques have focused on pattern classification to decode the type of object a participant is view...
Autores principales: | Cohen, Jessica R., Asarnow, Robert F., Sabb, Fred W., Bilder, Robert M., Bookheimer, Susan Y., Knowlton, Barbara J., Poldrack, Russell A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118657/ https://www.ncbi.nlm.nih.gov/pubmed/21720520 http://dx.doi.org/10.3389/fnins.2011.00075 |
Ejemplares similares
-
Decoding Developmental Differences and Individual Variability in Response Inhibition Through Predictive Analyses Across Individuals
por: Cohen, Jessica R., et al.
Publicado: (2010) -
A unique adolescent response to reward prediction errors
por: Cohen, Jessica R., et al.
Publicado: (2010) -
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
por: Poldrack, Russell A., et al.
Publicado: (2011) -
Differences in neural activation as a function of risk-taking task parameters
por: Congdon, Eliza, et al.
Publicado: (2013) -
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data
por: Dang, Tung, et al.
Publicado: (2023)