dc.contributorLima, Gustavo Zampier dos Santos
dc.contributorhttp://lattes.cnpq.br/3949069933473689
dc.contributorhttp://lattes.cnpq.br/6484225572798302
dc.contributorCorso, Gilberto
dc.contributor36990485000
dc.contributorhttp://lattes.cnpq.br/0274040885278760
dc.contributorMohan, Madras Viswanathan Gandhi
dc.contributorhttp://lattes.cnpq.br/1995273890709490
dc.contributorLima, Marcelo de Meira Santos
dc.contributorhttp://lattes.cnpq.br/5011624798550816
dc.contributorLopes, Sergio R.
dc.creatorCunha, Gabriel Moreno
dc.date.accessioned2021-09-09T22:10:21Z
dc.date.accessioned2022-10-06T13:32:03Z
dc.date.available2021-09-09T22:10:21Z
dc.date.available2022-10-06T13:32:03Z
dc.date.created2021-09-09T22:10:21Z
dc.date.issued2021-07-26
dc.identifierCUNHA, Gabriel Moreno. Acoplamento efático em modelo neuronal híbrido. 2021. 152f. Dissertação (Mestrado em Física) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2021.
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/33329
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3969997
dc.description.abstractThere is growing interest in the impact of electrical fields generated in the brain. Transmembrane ionic currents originate electric fields in the extracellular space and are capable of affecting nearby neurons, a phenomenon called ephatic communication. In the present work, the Quadratic Integrate-and-Fire model was adapted to include the ephatic coupling behavior and its results were compared to the empirical results. Therefore, the analysis tools were divided according to the neuronal activity regime. For the subthreshold regime, circular statistics were used to describe the phase differences between the stimulus signal and the modeled membrane response; In the suprathreshold regime, the Population Vector and Spike Field Coherence were used to estimate phase preferences and the coupling intensity between the stimulus and the spikes of the model. The subthreshold phase difference was sensitive to the characteristic membrane response time, as well as the frequency of the stimulus given to the model. On the other hand, the intensity of the coupling between spikes and stimulus was sensitive to the intensity of noise added to the stimulus signal and also to the stimulus frequency. The preferential phase of spikes are sensitive, according to the model, only to the stimulus frequency. Such results are consistent with the results observed in empirical experiments on ephatic neuronal coupling. It was observed that the Quadratic Integrate-e-Fire model with ephatic coupling is able to successfully model this neuronal communication. Thus, the model makes it possible to pursue further studies on the physiological importance of ephatic coupling in the brain, including significant implications for our understanding of brain processing for neuroscience.
dc.publisherUniversidade Federal do Rio Grande do Norte
dc.publisherBrasil
dc.publisherUFRN
dc.publisherPROGRAMA DE PÓS-GRADUAÇÃO EM FÍSICA
dc.rightsAcesso Aberto
dc.subjectAcoplamento efático
dc.subjectComunicações neuronais
dc.subjectModelos neuronais
dc.titleAcoplamento efático em modelo neuronal híbrido
dc.typemasterThesis


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