Topic: Regions Of Interest

Closed-loop neuroscience experimentation, where recorded neural activity is used to modify the experiment on-the-fly, is critical for deducing causal connections and optimizing experimental time. A critical step in creating a closed-loop experiment is real-time inference of neural activity from streaming recordings. One challenging modality for real-time processing is calcium imaging (CI) via multi-photon microscopy. CI enables the recording of activity in large populations of neurons however, often requires batch processing of the video data to extract single-neuron activity from the fluoresc

Characterizing brain oscillatory activity at the single-subject level is a key concern in personalized medicine. A recent publication has presented a normative map of the brain’s natural or typical frequencies of oscillation that could be used for detecting potential deviations in healthcare. However, this map represents brain activity in a voxel-by-voxel basis from high-density recordings of a large sample of healthy volunteers, compared to the low-density recordings usually employed on patients. Thus, accounting for less data to construct the single-subject map, a significant portion of nois