Through same-different judgements, we can discriminate an immense variety of stimuli and consequently, they are critical in our everyday interaction with the environment. The quality of the judgements depends on familiarity ...

Supervised statistical learning covers important models like Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA). In this paper we describe the idea of using the discriminant weights given by SVM and LDA ...

Discriminative learning of Restricted Boltzmann Machines has been recently introduced as an alternative to provide a self-contained approach for both unsupervised feature learning and classification purposes. However, one ...

Rats learned to discriminate between two degrees of roughness, detecting the stimuli only with their vibrissal system. After bilateral trimming of the vibrissae, performance abruptly dropped to chance levels and remained ...

This dissertation was based on four empirical research reports submitted for publication in specialized journals. The empirical researches laid the foundations for a theoretical analysis on Stimulus Control and discrimination ...