Visual objects categorization using dense EEG: A preliminary study

The ability of the brain to categorize or group visual stimuli based on common features is a fundamental principle of cognition. This categorization is very fast and occurs in few millisecond time scales. Due to the excellent temporal resolution, on the order of millisecond, of the Electroencephalogram (EEG), categorization of images containing visual objects can be effectively recognized using Event Related Potentials (ERPs) derived from EEG signals recorded when images are presented in screen in front of the subjects. The aiming of this paper is to show preliminary results about how the processing of objects in the human brain unfolds in time using dense EEG. In this paper, we show a time-resolved view of the human brain for objects and animals. We showed a difference between the spatiotemporal behaviors of ERP signals recorded in two conditions: objects and animals. Using The Support Vector Machine (SVM) classifier, results showed a high performance of the dense EEGs to differentiate between objects and animals.