Cargando…
Recovering Reliable Idiographic Biological Parameters from Noisy Behavioral Data: the Case of Basal Ganglia Indices in the Probabilistic Selection Task
Behavioral data, despite being a common index of cognitive activity, is under scrutiny for having poor reliability as a result of noise or lacking replications of reliable effects. Here, we argue that cognitive modeling can be used to enhance the test-retest reliability of the behavioral measures by...
Autores principales: | Xu, Yinan, Stocco, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990383/ https://www.ncbi.nlm.nih.gov/pubmed/33782661 http://dx.doi.org/10.1007/s42113-021-00102-5 |
Ejemplares similares
-
A probabilistic atlas of the basal ganglia using 7 T MRI
por: Keuken, Max C., et al.
Publicado: (2015) -
A conductance-based network model of the basal ganglia for probabilistic action selection
por: Shouno, Osamu, et al.
Publicado: (2007) -
Basal ganglia functional connectivity network analysis does not support the ‘noisy signal’ hypothesis of Parkinson’s disease
por: Williams, David
Publicado: (2023) -
A spiking network model of basal ganglia to study the effect of dopamine medication and STN-DBS during probabilistic learning task
por: Mandali, Alekhya, et al.
Publicado: (2015) -
Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis
por: Zhan, Peida, et al.
Publicado: (2018)