title: A comparison between habituation and conscience mechanism in self-organizing maps.
abstract: In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances of the network are compared to the conscience learning mechanism that follows roughly the same principle but is less sophisticated.
authors.forename: Riccardo
authors.initials: R
authors.lastname: Rizzo
authors.forename: Antonio
authors.initials: A
authors.lastname: Chella
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003242:Conscience; D006185:Habituation, Psychophysiologic; D016247:Information Storage and Retrieval / Q000379:methods*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D013598:Systems Theory