no code implementations • 30 Apr 2022 • Matheus Hansen, Paulo R. Protachevicz, Kelly C. Iarosz, Ibere L. Caldas, Antonio M. Batista, Elbert E. N. Macau
We study the time delay in the synaptic conductance for suppression of spike synchronisation in a random network of Hodgkin Huxley neurons coupled by means of chemical synapses.
no code implementations • 3 Mar 2022 • Paulo Roberto de Lima Gianfelice, Ricardo Sovek Oyarzabal, Americo Cunha Jr, Jose Mario Vicensi Grzybowski, Fernando da Conceição Batista, Elbert E. N. Macau
Considering Rio de Janeiro city (Brazil) as an example, the first diagnosis of this disease occurred in March 2020, but the exact moment when the local spread of the virus started is uncertain as the Brazilian epidemiological surveillance system was not widely prepared to detect suspected cases of COVID-19 at that time.
1 code implementation • 23 Apr 2020 • Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
In this paper, we propose a network-based model for spatiotemporal data analysis called chronnet.
no code implementations • 13 Feb 2020 • Fabricio A Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
Oscillators in the network representing the salient object in a given scene are phase synchronized, while no phase synchronization occurs for background objects.
1 code implementation • 11 Mar 2019 • Leonardo N. Ferreira, Didier A. Vega-Oliveros, Liang Zhao, Manoel F. Cardoso, Elbert E. N. Macau
In this paper, we evaluate the possibility of using historical data from 2003 to 2017 of active fire detections (NASA's MODIS MCD14ML C6) and time series forecasting methods to estimate global fire season severity (FSS), here defined as the accumulated fire detections in a season.
Applications
2 code implementations • 8 Feb 2019 • Leonardo N. Ferreira, Nicole C. R. Ferreira, Maria Livia L. M. Gava, Liang Zhao, Elbert E. N. Macau
In this context, functional climate networks can be constructed using a spatiotemporal climate dataset and a suitable time series distance function.
Data Analysis, Statistics and Probability Atmospheric and Oceanic Physics