Cargando…
Combining Computational Modeling and Neuroimaging to Examine Multiple Category Learning Systems in the Brain
Considerable evidence has argued in favor of multiple neural systems supporting human category learning, one based on conscious rule inference and one based on implicit information integration. However, there have been few attempts to study potential system interactions during category learning. The...
Autores principales: | Nomura, Emi M., Reber, Paul J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4061791/ https://www.ncbi.nlm.nih.gov/pubmed/24962771 http://dx.doi.org/10.3390/brainsci2020176 |
Ejemplares similares
-
Dissociation of category-learning systems via brain potentials
por: Morrison, Robert G., et al.
Publicado: (2015) -
Spatiotemporal Dynamics of Multiple Memory Systems During Category Learning
por: K. Morgan, Kyle, et al.
Publicado: (2020) -
A Computational Model of Context‐Dependent Encodings During Category Learning
por: Carvalho, Paulo F., et al.
Publicado: (2022) -
Computational and dynamic models in neuroimaging
por: Friston, Karl J., et al.
Publicado: (2010) -
microRNA Biology on Brain Development and Neuroimaging Approach
por: Tsujimura, Keita, et al.
Publicado: (2022)