Bayesian Neural Response Model
Cross-source consensus on Bayesian Neural Response Model from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Comparisons
Highlighted claims
- The Bayesian neural response model jointly estimates a latent shared BOLD response and voxel activation from fMRI data. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- The model generalizes the classical GLM by reducing to it when a known task predictor is supplied. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- For naturalistic fMRI, the shared response function is estimated from the data instead of prespecified. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- The model treats response estimation and activation mapping as a single joint inference problem. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- BNR is intended as a model-based alternative to intersubject correlation for naturalistic fMRI. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data