@Article{MagriniDomiMacaKiss:2021:SyPoEl,
               author = "Magrini, Luciano A. and Domingues, Margarete Oliveira and Macau, 
                         Elbert Einstein Nehrer and Kiss, Istv{\'a}n Z.",
          affiliation = "Instituto Federal de Educa{\c{c}}{\~a}o, Ci{\^e}ncia e 
                         Tecnologia de S{\~a}o Paulo (IFSP) and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de S{\~a}o 
                         Paulo (UNIFESP)} and {Saint Louis University}",
                title = "Synchronization in populations of electrochemical bursting 
                         oscillators with chaotic slow dynamics",
              journal = "Chaos",
                 year = "2021",
               volume = "31",
                pages = "e053125",
                month = "May",
             abstract = "We investigate the synchronization of coupled electrochemical 
                         bursting oscillators using the electrodissolution of iron in 
                         sulfuric acid. The dynamics of a single oscillator consisted of 
                         slow chaotic oscillations interrupted by a burst of fast spiking, 
                         generating a multiple time-scale dynamical system. A wavelet 
                         analysis first decomposed the time series data from each 
                         oscillator into a fast and a slow component, and the corresponding 
                         phases were also obtained. The phase synchronization of the fast 
                         and slow dynamics was analyzed as a function of electrical 
                         coupling imposed by an external coupling resistance. For two 
                         oscillators, a progressive transition was observed: With 
                         increasing coupling strength, first, the fast bursting intervals 
                         overlapped, which was followed by synchronization of the fast 
                         spiking, and finally, the slow chaotic oscillations synchronized. 
                         With a population of globally coupled 25 oscillators, the coupling 
                         eliminated the fast dynamics, and only the synchronization of the 
                         slow dynamics can be observed. The results demonstrated the 
                         complexities of synchronization with bursting oscillations that 
                         could be useful in other systems with multiple time-scale 
                         dynamics, in particular, in neuronal networks.",
                  doi = "10.1063/5.0041488",
                  url = "http://dx.doi.org/10.1063/5.0041488",
                 issn = "1054-1500",
             language = "en",
           targetfile = "magrini_2021.pdf",
        urlaccessdate = "09 maio 2024"
}