Network Models

This model simulates the joint evolution of Major Depressive Episode (MDE) and Generalized Anxiety Disorder (GAD) using a network model. The aim of the model is to explain the high levels of comorbidity between MDE and GAD.

A computational model of Panic Disorder defined as a non-linear dynamical system. This model explains, among others, individual differences in the propensity to experience panic attacks, key phenomenological characteristics of those attacks, the onset of Panic Disorder, and the efficacy of cognitive behavioral therapy. A panic attack occurs when an individual's perceived threat rises as a result of a negative appraisal of the current situation. Usually mitigated by escape behaviour, when such an option is not readily available, heightened perceived threat may result in a panic attack.

A network model that models the idea of personality types influencing the dynamical landscape of a symptoms network. This idea is applied to the personality trait neuroticism and the symptoms of major depressive disorder and is able to accommodate important phenomena of this disorder.

CAL model (Category Abstraction Learning), a cognitive framework formally describing category learning built on similarity-based generalization, dissimilarity-based abstraction, two attention learning mechanisms, error-driven knowledge structuring, and stimulus memorization.