What is typically measured by EEG systems in neurosensory AI?

EEG systems, or electroencephalography systems, are primarily designed to measure the electrical activity of neurons in the brain. This is accomplished by placing electrodes on the scalp that detect the tiny electrical signals produced by neuronal activity. The resulting data is then processed to track brain wave patterns, which can provide insights into various neurological conditions and cognitive states. EEG is extensively used in both clinical settings to diagnose disorders like epilepsy and in research contexts to study brain function.

In contrast, other options involve entirely different modalities. Sound waves pertain to auditory information and require different types of sensors, while visual patterns would necessitate imaging techniques such as cameras or visual sensors. Heat signatures, on the other hand, require thermal imaging technology, which is not related to the electrical activity that EEG systems specifically measure.