Cargando…
Dynamic causal modelling of precision and synaptic gain in visual perception — an EEG study
Estimating the precision or uncertainty associated with sensory signals is an important part of perception. Based on a previous computational model, we tested the hypothesis that increasing visual contrast increased the precision encoded in early visual areas by the gain or excitability of superfici...
Autores principales: | Brown, Harriet R., Friston, Karl J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3438451/ https://www.ncbi.nlm.nih.gov/pubmed/22750569 http://dx.doi.org/10.1016/j.neuroimage.2012.06.044 |
Ejemplares similares
-
Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy
por: Papadopoulou, Margarita, et al.
Publicado: (2015) -
Dynamic causal modelling for EEG and MEG
por: Kiebel, Stefan J., et al.
Publicado: (2008) -
Dynamic causal modelling of fluctuating connectivity in resting-state EEG
por: Van de Steen, Frederik, et al.
Publicado: (2019) -
Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG
por: Jafarian, Amirhossein, et al.
Publicado: (2020) -
Top-down Modulations in the Visual Form Pathway Revealed with Dynamic Causal Modeling
por: Cardin, Velia, et al.
Publicado: (2011)