Minimum number of edges in a hypergraph guaranteeing a perfect fractional matching and the MMS conjecture

Vladimir Blinovsky

In this paper we prove the Ahlswede-Khachatrian conjecture [1] up to a finite number of cases, which can be checked using modern computers. This conjecture implies the conjecture from [2] and the Manickam-Miklós-Singhi conjecture.

The whole paper is available here.

An introduction to the storage of experimental data in neuroscience

Introdução ao Armazenamento de Dados de Experimentos em Neurociência - Parte 01A set of presentations and background material on strategies to store experimental neuroscientific data, digital questionnaires to collect and store experimental data and meta-data and tools to manage files. Lecturers: Profs. Kelly Braghetto (DCC-IME-USP) and Amanda Nascimento (DC-UFOP).

A NeuroMat Statistics and Neuroscience course to contribute to public school teaching

FAPESP's Research, Innovation and Dissemination Center for Neuromathematics (CEPID NeuroMat) has developed a series of activities and material to contribute to how public school teachers engage with Statistics and Neuroscience. The aim is to partner up and work along with teachers in a systematic effort to present concepts pertaining to Neuromathematics to teenagers. A special focus in this effort is given to introducing students to data setting and analysis.

Modeling networks of spiking neurons as interacting processes with memory of variable length

Antonio Galves, Eva Löcherbach

We consider a new class of non Markovian processes with a countable number of interacting components, both in discrete and continuous time. Each component is represented by a point process indicating if it has a spike or not at a given time. The system evolves as follows. For each component, the rate (in continuous time) or the probability (in discrete time) of having a spike depends on the entire time evolution of the system since the last spike time of the component.

NES - NeuroMat - Browser-based data collection

NES, from NeuroMat, is an open-source tool to manage clinical data gathered in hospitals and research institutions. Labrigger, 02/05/2015.

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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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