Mathematical models may answer neurobiology questions

Momento USP Inovação has interviewed NeuroMat's director, Antonio Galves, on the research agenda the center has advanced. Galves has commented on the association between neurobiology and mathematics, the main topic areas of the center. According to him, mathematics are key to formulate the questions that neurobiology puts forward and to understand brain functioning. Jornal da USP, 6/6/2018. (In Portuguese)

NeuroMat, the largest institutional contributor on Mathematics on Wikipedia

The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat), funded by FAPESP, has chosen web, collaborative platforms as its main line of action in terms of science dissemination. This decision was made in 2014 and now the RIDC has become a relevant institutional contributor to Wikimedia projects and the largest institutional contributor on Mathematics on Wikipedia, according to reports from the Outreach Dashboard, that monitors institutional programs and activities on Wikimedia projects.

Physiology and assessment as low-hanging fruit for education overhaul

Sidarta Ribeiro, Natália Bezerra Mota, Valter da Rocha Fernandes, Andrea Camaz Deslandes, Guilherme Brockington and Mauro Copelli

Physiology and assessment constitute major bottlenecks of school learning among students with low socioeconomic status. The limited resources and household overcrowding typical of poverty produce deficits in nutrition, sleep, and exercise that strongly hinder physiology and hence learning. Likewise, overcrowded classrooms hamper the assessment of individual learning with enough temporal resolution to make individual interventions effective. Computational measurements of learning offer hope for low-cost, fast, scalable, and yet personalized academic evaluation. Improvement of school schedules by reducing lecture time in favor of naps, exercise, meals, and frequent automated assessments of individual performance is an easily achievable goal for education.

Discrepancy and eigenvalues of Cayley graphs

Yoshiharu Kohayakawa, Vojtěch Röd and Mathias Schacht

We consider quasirandom properties for Cayley graphs of finite abelian groups. We show that having uniform edge-distribution (i.e., small discrepancy) and having large eigenvalue gap are equivalent properties for such Cayley graphs, even if they are sparse. This affirmatively answers a question of Chung and Graham (2002) for the particular case of Cayley graphs of abelian groups, while in general the answer is negative.

Ten research directions for the NeuroMat team in the coming years

As the NeuroMat research team worked on the project renewal proposal, ten research teams were listed. These teams have specific research topics, that will in the coming years provide the direction of the RIDC agenda. These teams were normally already active prior to 2018.

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O Centro de Pesquisa, Inovação e Difusão em Neuromatemática está sediado na Universidade de São Paulo e é financiado pela FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo).

 

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