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@Article{BorgesBLPICVMBGB:2017:SyPlSp,
               author = "Borges, Rafael R. and Borges, Fernando da Silva and Lameu, 
                         Ewandson I. and Protachevicz, Paulo R. and Iarosz, Kelly C. and 
                         Caldas, Ibere L. and Viana, Ricardo L. and Macau, Elbert Einstein 
                         Nehrer and Baptista, Murilo S. and Grebogi, Celso and Batista, 
                         Antonio M.",
          affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de Ponta 
                         Grossa} and {Universidade de S{\~a}o Paulo (USP)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Universidade Federal 
                         do Paran{\'a} (UFPR)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Aberdeen} and {University of 
                         Aberdeen} and {Universidade de S{\~a}o Paulo (USP)}",
                title = "Synaptic plasticity and spike synchronisation in neuronal 
                         networks",
              journal = "Brazilian Journal of Physics",
                 year = "2017",
               volume = "47",
                pages = "678--688",
             keywords = "Neuronal network, Plasticity, Synchronisation.",
             abstract = "Brain plasticity, also known as neuroplasticity, is a fundamental 
                         mechanism of neuronal adaptation in response to changes in the 
                         environment or due to brain injury. In this review, we show our 
                         results about the effects of synaptic plasticity on neuronal 
                         networks composed by Hodgkin-Huxley neurons. We show that the 
                         final topology of the evolved network depends crucially on the 
                         ratio between the strengths of the inhibitory and excitatory 
                         synapses. Excitation of the same order of inhibition revels an 
                         evolved network that presents the rich-club phenomenon, well known 
                         to exist in the brain. For initial networks with considerably 
                         larger inhibitory strengths, we observe the emergence of a complex 
                         evolved topology, where neurons sparsely connected to other 
                         neurons, also a typical topology of the brain. The presence of 
                         noise enhances the strength of both types of synapses, but if the 
                         initial network has synapses of both natures with similar 
                         strengths. Finally, we show how the synchronous behaviour of the 
                         evolved network will reflect its evolved topology.",
                  doi = "10.1007/s13538-017-0529-5",
                  url = "http://dx.doi.org/10.1007/s13538-017-0529-5",
                 issn = "0103-9733",
             language = "en",
           targetfile = "borges_synaptic.pdf",
        urlaccessdate = "01 dez. 2020"
}


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