A brain soccer derby: a NeuroMat story by Antonio Galves

Imagine a packed Maracanã soccer stadium, on a day of a derby of Flamengo against Fluminense, in Rio de Janeiro. Seventy thousand fans are in the stadium. Now imagine that someone can hear the crowd, but has no view over what happens on the field. He tries to make sense of what happens in the game —scores, good hits, fouls, penalty kicks, red cards— based on the crowd’s reactions.

GLAM initiative with the Museum of Veterinary Anatomy will load hundreds of valuable images

Members from the User Group Wikimedia in Brazil have established a partnership with the Museum of Veterinary Anatomy of the School of Veterinary Medicine and Animal Science (MAV-FMVZ) of the University of São Paulo in order to relicense high-quality images of objects from the museum collection and upload them to Wikimedia Commons. The goal is to upload from 300 to 400 pictures of mounted animals, macerated skeletons and anatomical models, with a great scientific, educational and artistic value, especially for projects like Wikipedia. This activity has had the support of the Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat), from Brazil. As a pilot step, the UG BR has uploaded four images to the Commons. So far, three of these pictures were voluntarily improved by an experienced editor and have been nominated as either valued or featured image. Initial uploads are already featured on Wikipedia pages in Portuguese, English and French, eventually reaching tens of thousands of visitors a day.Text by Célio Costa Filho 08/2016. (In Portuguese.)

Tight Hamilton cycles in random hypergraphs

Peter Allen, Julia Böttcher, Yoshiharu Kohayakawa, Yury Person

We give an algorithmic proof for the existence of tight Hamilton cycles in a random r-uniform hypergraph with edge probability p=n^{-1+eps} for every eps>0. This partly answers a question of Dudek and Frieze [Random Structures Algorithms], who used a second moment method to show that tight Hamilton cycles exist even for p=omega(n)/n (r>2) where omega(n) tends to infinity arbitrary slowly, and for p=(e+o(1))/n (r>3). The method we develop for proving our result applies to related problems as well.

Increase in hippocampal theta oscillations during spatial decision making

Hindiael Belchior, Vítor Lopes dos Santos, Adriano B. L. Tort, Sidarta Ribeiro

The processing of spatial and mnemonic information is believed to depend on hippocampal theta oscillations (5–12 Hz). However, in rats both the power and the frequency of the theta rhythm are modulated by locomotor activity, which is a major confounding factor when estimating its cognitive correlates. Previous studies have suggested that hippocampal theta oscillations support decision-making processes. In this study, we investigated to what extent spatial decision making modulates hippocampal theta oscillations when controlling for variations in locomotion speed. We recorded local field potentials from the CA1 region of rats while animals had to choose one arm to enter for reward (goal) in a four-arm radial maze. We observed prominent theta oscillations during the decision-making period of the task, which occurred in the center of the maze before animals deliberately ran through an arm toward goal location. In speed-controlled analyses, theta power and frequency were higher during the decision period when compared to either an intertrial delay period (also at the maze center), or to the period of running toward goal location. In addition, theta activity was higher during decision periods preceding correct choices than during decision periods preceding incorrect choices. Altogether, our data support a cognitive function for the hippocampal theta rhythm in spatial decision making.

Body maps inside the brain

This month Claudia Vargas and Maria Luiza Rangel published the text titled "Os mapas do corpo no cérebro" (Body maps inside the brain) at the "Museu do Amanhã" official website. Vargas is the technical consultant of the museum's exhibition "Sport & Brain", which can be seen until October 2. Vargas is also a NeuroMat co-principal investigator, one of FAPESP's Research, Innovation and Dissemination centers, hosted by the University of São Paulo (USP). Text by Claudia Domingues Vargas & Maria Luiza Rangel, 08/2016. (In Portuguese.)




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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