@Article{RöhrBerLamPopYan:2019:FrClFo,
               author = "R{\"o}hr, Vera and Berner, Rico and Lameu, Ewandson Luiz and 
                         Popovych, Oleksandr V. and Yanchuk, Serhiy",
          affiliation = "{Technische Universit{\"a}t Berlin} and {Technische 
                         Universit{\"a}t Berlin} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Research Centre J{\"u}lich} and 
                         {Technische Universit{\"a}t Berlin}",
                title = "Frequency cluster formation and slow oscillations in neural 
                         populations with plasticity",
              journal = "PLoS One",
                 year = "2019",
               volume = "14",
               number = "11",
                pages = "e0225094",
             abstract = "We report the phenomenon of frequency clustering in a network of 
                         Hodgkin-Huxley neurons with spike timing-dependent plasticity. The 
                         clustering leads to a splitting of a neural population into a few 
                         groups synchronized at different frequencies. In this regime, the 
                         amplitude of the mean field undergoes low-frequency modulations, 
                         which may contribute to the mechanism of the emergence of slow 
                         oscillations of neural activity observed in spectral power of 
                         local field potentials or electroencephalographic signals at high 
                         frequencies. In addition to numerical simulations of such 
                         multi-clusters, we investigate the mechanisms of the observed 
                         phenomena using the simplest case of two clusters. In particular, 
                         we propose a phenomenological model which describes the dynamics 
                         of two clusters taking into account the adaptation of coupling 
                         weights. We also determine the set of plasticity functions (update 
                         rules), which lead to multi-clustering.",
                  doi = "10.1371/journal.pone.0225094",
                  url = "http://dx.doi.org/10.1371/journal.pone.0225094",
                 issn = "1932-6203",
             language = "en",
           targetfile = "rohr_frequency.pdf",
        urlaccessdate = "08 maio 2024"
}