NeuroMat spreads the frontier of science through Wikipedia

In August, the User Group Wikimedia in Brazil and the Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat), which brings together researchers in Mathematics, Computer Science, Statistics, Neurobiology, Physics and Communications, organized a marathon on Wikipedia about neuroscience and mathematics, at the University of São Paulo. Ana Beatriz Rosa, Huffington Post Brasil, 10/21/2016. (In Portuguese.)

Amparo network to engage people with Parkinson

A research center at the University of São Paulo has launched a network to promote discussions and foster interdisciplinary treatment of Parkinson's Disease. Fernanda Giacomassi, Agência Universitária de Notícias, 9/28/2016. (In Portuguese.)

Computational Tracking of Mental Health in Youth

Mota N., Copelli M., Ribeiro S.

The early onset of mental disorders can lead to serious cognitive damage, and timely interventions are needed in order to prevent them. In patients of low socioeconomic status, as is common in Latin America, it can be hard to identify children at risk. Here, we briefly introduce the problem by reviewing the scarce epidemiological data from Latin America regarding the onset of mental disorders, and discussing the difficulties associated with early diagnosis. Then we present computational psychiatry, a new field to which we and other Latin American researchers have contributed methods particularly relevant for the quantitative investigation of psychopathologies manifested during childhood. We focus on new technologies that help to identify mental disease and provide prodromal evaluation, so as to promote early differential diagnosis and intervention. To conclude, we discuss the application of these methods to clinical and educational practice. A comprehensive and quantitative characterization of verbal behavior in children, from hospitals and laboratories to homes and schools, may lead to more effective pedagogical and medical intervention.

Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

Hjalmar K. Turesson, Sidarta Ribeiro, Danillo R. Pereira, João P. Papa, Victor Hugo C. de Albuquerque

Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. However, for classification to be useful in practice, a reliable algorithm that can be successfully trained on small datasets is necessary. In this work, we consider seven different classification algorithms with the goal of finding a robust classifier that can be successfully trained on small datasets. We found good classification performance (accuracy > 0.83 and F1-score > 0.84) using the Optimum Path Forest classifier. Dataset and algorithms are made publicly available.

Openings for Game Architecture and Development Scholarship

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat) is offering FAPESP scholarships for information technology professionals interested in being part of a breakthrough and innovative scientific project. The recipient will interact with researchers from USP and other NeuroMat collaborating institutions in activities of development, customization, maintenance and deployment of open software related to the scientific goals of the center.




The Research, Innovation and Dissemination Center for Neuromathematics is hosted by the University of São Paulo and funded by FAPESP (São Paulo Research Foundation).


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