CV Lattes
ResearcherID
Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Electronics Engineering from Universidade de São Paulo (1973). Got a Master's degre in Applied Mathematics (Computer Science) from Universidade de São Paulo (1979) and a Ph. D. in Computer Science from Stanford University (1988). Has been a faculty member of the Institute of Computing, State University of Campinas (UNICAMP) since aug/1992, where he is now Full Professor . Works on compuer graphics and image processing, computer vision, numerical methods, graph theory, and neuronal network modeling. Contrinuted over 1000 articles to the English wikipedia. Has also been an advocate for secure voting in Brazil and denounced the incurable flaws and frauds of cryptocurrencies. From mar/2005 to mar/2009 was Dean of the Computer Science Institute, UNICAMP. (Source: Lattes Curriculum)
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A mathematical center is proposed to integrate mathematical modeling with basic and applied lines of research at the frontier of neuroscience. The proposal is a response to the increasing importance of mathematical structures in theoretical neuroscience. One of the underlying reasons is the huge mass of data generated by recent experimental capabilities of research, whose analysis require…
The goal of this project is the development of algorithms, mathematical techniques, and software tools for problems in visual computing, based on concepts of mathematical approximation. Visual computing includes computational geometry, geometric modeling, image synthesis and animation, scientific visualization, image encoding and processing, and pattern recognition. By mathematical approx…
An important issue in Neuroscience is identifying classes of models used by the brain to compress information from stimuli. We address this issue by proposing new electroencephalographic (EEG) experiments designed to study how the brain encodes statistical regularities from stochastic sequences of stimuli and the development of new statistical tools for functional data analysis, with a ma…
I plan to investigate the question of metastability in stochastic models of biological neural networks through the rigorous characterization of statistical physics.During my PhD I have proven two results related to the asymptotic memorylessness of the time of extinction in a continuous-time model inspired by the original Galves-Löcherbach model. This memorylessness is the signature of met…
The selection of a model of the brain is of practical interest for the understanding of processes such as the sensorial perception, diseases such as Epilepsy, and the reaction of the brain to rapid loss of neurons, such as due to Alzheimer's or following a brain stroke. However, standard methods of analysis are not adequate to the problem due to the high complexity of the brain connection…
We propose to use computational simulations of integrate-and-fire neuronal network models to investigate their dynamical properties, such as the influence of network topology and synapse plasticity in their phase diagram and the nature of its critical regions. We intend to focus on neural networks that are balanced with respect to the ratio of excitatory and inhibitory inputs to each neu…
(Only some records are available in English at this moment)
There are experimental evidences of self-organizing criticality in many natural systems, including certain regions of the human brain. The main objective of this project is the mathematical modeling of neuronal systems, such as the human cortex. We intend to study the dynamical properties of neuronal network models, focusing on the inuence of network topology and synaptic plasticity parti…
| 1 / 1 | Ongoing research grants |
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| 2 / 2 | Ongoing scholarships in Brazil |
| 14 / 5 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 20 / 11 | All research grants and scholarships |
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