@Article{ProtacheviczBRBICLMVSFKB:2018:SyBeNe,
               author = "Protachevicz, P. R. and Borges, R. R. and Reis, A. S. and Borges, 
                         F. S. and Iarosz, K. C. and Caldas, I. L. and Lameu, Ewandson Luiz 
                         and Macau, Elbert Einstein Nehrer and Viana, R. L. and Sokolov, I. 
                         M. and Ferrari, F. A. S. and Kurths, J. and Batista, A. M.",
          affiliation = "{Universidade Estadual de Ponta Grossa} and {Universidade 
                         Tecnol{\'o}gica Federal do Parana (UTFPR)} and {Universidade 
                         Federal do Paran{\'a} (UFPR)} and {Universidade Federal do ABC 
                         (UFABC)} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Federal do Paran{\'a} (UFPR)} 
                         and {University of Berlin} and {Universidade Federal dos Vales do 
                         Jerquitinhonha e Macuri} and {Potsdam Institute for Climate Impact 
                         Research} and {Universidade Estadual de Ponta Grossa}",
                title = "Synchronous behaviour in network model based on human 
                         cortico-cortical connections",
              journal = "Physiological Measurement",
                 year = "2018",
               volume = "39",
               number = "7",
                pages = "e074006",
                month = "July",
             keywords = "neuronal networks, synchronization, cortico-cortical connection 
                         network.",
             abstract = "Objective: We consider a network topology according to the 
                         cortico-cortical connection network of the human brain, where each 
                         cortical area is composed of a random network of adaptive 
                         exponential integrate-and-fire neurons. Approach: Depending on the 
                         parameters, this neuron model can exhibit spike or burst patterns. 
                         As a diagnostic tool to identify spike and burst patterns we 
                         utilise the coefficient of variation of the neuronal inter-spike 
                         interval. Main results: In our neuronal network, we verify the 
                         existence of spike and burst synchronisation in different cortical 
                         areas. Significance: Our simulations show that the network 
                         arrangement, i.e. its rich-club organisation, plays an important 
                         role in the transition of the areas from desynchronous to 
                         synchronous behaviours.",
                  doi = "10.1088/1361-6579/aace91",
                  url = "http://dx.doi.org/10.1088/1361-6579/aace91",
                 issn = "0967-3334",
             language = "en",
           targetfile = "protachevicz_synchronous.pdf",
        urlaccessdate = "27 abr. 2024"
}