Pinned Repositories
AdaptiveGraphicalLassoforParCoh
Methods for running simulations and applying the algorithm in the paper "Structural connectome constrained graphical lasso for MEG partial coherence"
aw_blog
fMRI-PC
Using QUIC, CV and ggmFitHtf to estimate the fMRI-PC.
plugin-GUI
Software for processing, recording, and visualizing multichannel electrophysiology data
sleepstaging
Files to get a spectrogram to help with sleep staging
SSPE-paper
Code repository to recreate the simulations and plots of the State Space model for Real Time Phase Estimation paper as well as code for the state space model in SSPE
stateSpacePhasePredictor
Estimating phase in real time with a state space model tracking the analytic signal
UncertaintyInPhase
Repository to run analyses described in paper: "Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty "
Virtual-Tractography
Code to generate virtual structural connectomes given a volume mask for injury.
wodeyara's Repositories
wodeyara/SSPE-paper
Code repository to recreate the simulations and plots of the State Space model for Real Time Phase Estimation paper as well as code for the state space model in SSPE
wodeyara/AdaptiveGraphicalLassoforParCoh
Methods for running simulations and applying the algorithm in the paper "Structural connectome constrained graphical lasso for MEG partial coherence"
wodeyara/stateSpacePhasePredictor
Estimating phase in real time with a state space model tracking the analytic signal
wodeyara/Virtual-Tractography
Code to generate virtual structural connectomes given a volume mask for injury.
wodeyara/aw_blog
wodeyara/fMRI-PC
Using QUIC, CV and ggmFitHtf to estimate the fMRI-PC.
wodeyara/plugin-GUI
Software for processing, recording, and visualizing multichannel electrophysiology data
wodeyara/sleepstaging
Files to get a spectrogram to help with sleep staging
wodeyara/UncertaintyInPhase
Repository to run analyses described in paper: "Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty "