A gate model of emotional learning

The paradigm of stimulus-driven emotional learning is embraced within a more integral field of machine learning. A computational model is suggested, where the actions of stimuli are represented by matrices acting on agent´s state vector. The model is validated against several classical experiments in the area of classical conditioning. Eventually, ways of further development are indicated and the conditioning phenomena not covered yet by the model are listed.