Pages that link to "Item:Q5850949"
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The following pages link to Modeling Inter‐Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model (Q5850949):
Displaying 11 items.
- A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data (Q312903) (← links)
- A hierarchical modeling approach to data analysis and study design in a multi-site experimental fMRI study (Q358500) (← links)
- Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments (Q2065243) (← links)
- Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions (Q2080775) (← links)
- Characterizing cross‐subject spatial interaction patterns in functional magnetic resonance imaging studies: A two‐stage point‐process model (Q4597949) (← links)
- Evaluation of image registration spatial accuracy using a Bayesian hierarchical model (Q5170206) (← links)
- Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes (Q5256405) (← links)
- Bayesian Spatial Transformation Models with Applications in Neuroimaging Data (Q5408031) (← links)
- Template mixture models for direct cortical electrical interference data (Q5701094) (← links)
- Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions (Q6079745) (← links)
- Bayesian models for functional magnetic resonance imaging data analysis (Q6604439) (← links)
