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.
Eye movements during video are also similar across subjects. We have used ISC of eye-movements to cluster subjects into groups with distinct viewing patterns.
This methods can identify what the brain encodes about the stimulus while simultaneously decoding the corresponding brain activity. It is a component extraction technique that works in the absence of precise time markers. We use this to understand the EEG responses to unique experiences, such as video games.
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.
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).
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.