A 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 series of lectures on spike sorting, that were provided in the context of NeuroMat's training "Spike sorting: What is it? Why do we need it? Where does it come from? How is it done? How to interpret it?,". Lecturer: Prof. Christophe Pouzat, a CNRS researcher of the Applied Maths Laboratory of the Paris-Descartes University and a specialist in spike sorting.
Does the brain of a child with ADHD process information in the same way of the brain of a child with no such disorder? To develop mathematical models to make sense of meaningful differences is a key challenge of Neuromathematics. And this becomes a computational challenge, to the extent it requires the building of neuroscientific databases that take into consideration all characteristics of patients and experiments. Lecturers: Michelle Miranda and Evandro Santos Rocha, NeuroMat team members.
Introductory class on techniques and tools to manage scientific data, focusing on sources of information and data analysis. Lecturer: Prof. Kelly Rosa Braghetto, a NeuroMat associate investigator and a professor at the University of São Paulo's Department of Computer Science.
A class on statistical regularities and statistical model selection. Lecturer: Prof. Antonio Galves, NeuroMat principal investigator and professor at the University of São Paulo's Institute of Mathematics and Statistics.
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