Abstract: A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.

Abstract: A method for content delivery includes dividing a reference group of human subjects into multiple segments according to one or more segmentation criteria. Subjective responses of the human subjects to a reference set of data items are collected, and neurophysiological responses of the human subjects to the data items in the reference set are measured. The human subjects are classified into multiple brain types according to the measured neurophysiological responses. Based on the collected subjective responses, a mapping is defined between the segmentation criteria and the brain types and is applied in predicting a brain type of a human subject outside the reference group. A content offering is selected for presentation to the human subject responsively to the predicted brain type.

Abstract: A content classification method includes receiving a set of content items from categories of a specific discipline, and extracting respective features from each content item. A labeling of the content items of the specific discipline is received, performed by human viewers, the labeling indicating a respective category assigned to the content item by the human viewers. A general-content brain-response model is uploaded, the model estimated using measurements of brains of humans presented with a general-content database defined using a set of features and includes a mapping between the set of features and a set of extracted brain activities. The model is applied to the extracted features, to calculate, using the labeling, a set of brain-responses for the specific discipline. Given a new content item associated with the discipline, a category of the discipline best matching the new content item is estimated, based on the model and the discipline-specific brain responses.

Abstract: A computer implemented method includes supplying stimuli to an organism, measuring brain activity of the organism responsive to the stimuli and producing a brain feature activity map characterizing the brain activity. The operations of supplying, measuring and producing are repeated for different stimuli to form a brain feature activity map database. New stimuli are received. New stimuli features are mapped to a projected brain activity map. The projected brain activity map is compared to the brain feature activity map database to identify similarities and dissimilarities between the projected brain activity map and entries in the brain feature activity map database to designate a match. The new stimuli are characterized based upon the match.