Inter-Subject Correlation of EEG

This component extraction technique was developed to analyze stimulus responses in EEG in the absence of regressors or time markers. We use this to understand the responses to video and auditory narratives.

Stimulus-Response Correlation of EEG

This component extraction technique was developed to analyze stimulus responses in EEG for unique experiences and in the absence of regressors or time markers. We use this to understand the responses to video games.

The New-York Head

This is a detailed current-flow model of a standard head for targeting of Transcranial Electric Stimulation (TES) and EEG source localization. As we show in a recent paper, the TES forward model and EEG lead field are identical.

Automated MRI head segmentation

Individualized current-flow modeling starts with the MRI of an individual subject. The first task is to accurately segment the anatomy. These are a few tools based on SPM8, which we have developed for fully automated whole-head segmentation (not just brain).

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Automated whole-head segmentation | Code and data

Whole-head Tissue Probability Map and fast processing routines to improve SPM results.

Morphologically accurate head segmentation | Code and data

Adds neighborhood priors to the ananatomical priors.

Spheres

This is a small software compiled from Matlab that can be used to quickly simulate tDCS on a sphere. Users can adjust the thickness of brain, CSF, skull and scalp, as well as their conductivities to see how these parameters affect the current-flow patterns inside the brain.