Studying the effective brain connectivity using multiregression dynamic models
The Multiregression Dynamic Model (MDM) is a multivariate graphical model for a multidimensional time series that allows the estimation of time-varying effective connectivity. An MDM is a state space model where connection weights reflect the contemporaneous interactions between brain regions. Becau...
Main Authors: | Costa, L, Nichols, T, Smith, J |
---|---|
Format: | Conference item |
Published: |
Institute of Mathematical Statistics
2017
|
Similar Items
-
A group analysis using the Multiregression Dynamic Models for fMRI networked time series
by: Costa, L, et al.
Published: (2018) -
Prediction Models of Financial Markets Based on Multiregression Algorithms
by: Antoni Wilinski
Published: (2011-10-01) -
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo
by: Diego Carvalho do Nascimento, et al.
Published: (2023-07-01) -
Optimization of Working Conditions for Perovskite-Based Gas Sensor Devices by Multiregression Analysis
by: Fabio Zaza, et al.
Published: (2019-01-01) -
Multiregression spatially variant blur kernel estimation based on inter‐kernel consistency
by: Min Hyuk Kim, et al.
Published: (2023-04-01)