| Grant number: | 19/22219-0 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | December 01, 2019 |
| End date: | November 30, 2022 |
| Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics |
| Principal Investigator: | Jefferson Antonio Galves |
| Grantee: | Karine Damásio Guimarães |
| Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated research grant: | 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat, AP.CEPID |
Abstract Significant empirical evidence shows that the graph of interactions in the brain at different scales can change in time. Analysis of these huge data bases generates large numbers of statistical parameters and structural information. In order to be useful, these results have to be (re)presented in a form that best exploits the natural strengths of our visual system. The choice of proper coordinates in the space of parameters is fundamental for this goal. An effective way to visualize the interaction parameters of a hundred neurons is to consider mathematically mapping of a covariance matrix (obtained by standard statistical analysis of the firing histories) to a set of distances that satisfy the axioms of a distance metric. The advantage of such a map is that our visual system is naturally better equipped to grasp and manipulate geometric concepts like distances. The goal of this project is to develop (or choose), implement, and evaluate effective representations of neuronal interaction parameters. (AU) | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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