Guillermo A. Cecchi

TL;DR: Analysis of the resulting networks in different tasks shows that the distribution of functional connections, and the probability of finding a link versus distance are both scale-free and the characteristic path length is small and comparable with those of equivalent random networks.

TL;DR: Findings support the utility of automated speech analysis to measure subtle, clinically relevant mental state changes in emergent psychosis, as well as outperforming classification from clinical interviews.

TL;DR: It is shown that a very simple geometric rule, cocircularity, predicts the arrangement of segments in natural scenes, and that different geometrical arrangements show relevant differences in their scaling properties.

TL;DR: A quantitative study of the graph structure of Wordnet to understand the global organization of the lexicon and shows that Wordnet has global properties common to many self-organized systems, and polysemy organizes the semantic graph in a compact and categorical representation, in a way that may explain the ubiquity of polyse my across languages.

TL;DR: The findings support the utility and validity of automated natural language processing methods to characterize disturbances in semantics and syntax across stages of psychotic disorder and identify sources of variability.