Acoplamento efático em modelo neuronal híbrido
There 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-...
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Universidade Federal do Rio Grande do Norte
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ri-123456789-33329 |
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dspace |
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Repositório Institucional |
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RI - UFRN |
| language |
pt_BR |
| topic |
Acoplamento efático Comunicações neuronais Modelos neuronais |
| spellingShingle |
Acoplamento efático Comunicações neuronais Modelos neuronais Cunha, Gabriel Moreno Acoplamento efático em modelo neuronal híbrido |
| description |
There 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. |
| author2 |
Lima, Gustavo Zampier dos Santos |
| author_facet |
Lima, Gustavo Zampier dos Santos Cunha, Gabriel Moreno |
| format |
masterThesis |
| author |
Cunha, Gabriel Moreno |
| author_sort |
Cunha, Gabriel Moreno |
| title |
Acoplamento efático em modelo neuronal híbrido |
| title_short |
Acoplamento efático em modelo neuronal híbrido |
| title_full |
Acoplamento efático em modelo neuronal híbrido |
| title_fullStr |
Acoplamento efático em modelo neuronal híbrido |
| title_full_unstemmed |
Acoplamento efático em modelo neuronal híbrido |
| title_sort |
acoplamento efático em modelo neuronal híbrido |
| publisher |
Universidade Federal do Rio Grande do Norte |
| publishDate |
2021 |
| url |
https://repositorio.ufrn.br/handle/123456789/33329 |
| work_keys_str_mv |
AT cunhagabrielmoreno acoplamentoefaticoemmodeloneuronalhibrido |
| _version_ |
1773965322795089920 |
| spelling |
ri-123456789-333292022-05-02T15:42:13Z Acoplamento efático em modelo neuronal híbrido Cunha, Gabriel Moreno Lima, Gustavo Zampier dos Santos http://lattes.cnpq.br/3949069933473689 http://lattes.cnpq.br/6484225572798302 Corso, Gilberto 36990485000 http://lattes.cnpq.br/0274040885278760 Mohan, Madras Viswanathan Gandhi http://lattes.cnpq.br/1995273890709490 Lima, Marcelo de Meira Santos http://lattes.cnpq.br/5011624798550816 Lopes, Sergio R. Acoplamento efático Comunicações neuronais Modelos neuronais There 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. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES Existe um crescente interesse no impacto dos campos elétricos gerados no cérebro. As correntes iônicas transmembranas originam campos elétricos no espaço extracelular e são capazes de afetar neurônios próximos, fenômeno chamado de comunicação efática. No presente trabalho, o modelo Integra-e-Dispara Quadrático foi adaptado para incluir o comportamento de acoplamento efático e seus resultados foram comparados aos resultados empíricos. Para tanto, as ferramentas de análise foram divididas de acordo com o regime de atividade neuronal. Para o regime sublimiar, a estatística circular foi utilizada para descrever as diferenças de fase entre o sinal de estímulo e a resposta da membrana modelada; No regime supralimiar, o Vetor de População e o Spike Field Coherence foram utilizados para estimar preferências de fase e a intensidade do acoplamento entre o estímulo e os Potenciais de Ação do modelo. A diferença de fase sublimiar se mostrou sensível ao tempo característico de resposta da membrana, assim como a frequência do estímulo dado ao modelo. Por outro lado, a intensidade do acoplamento entre Potenciais de Ação e estímulo, se mostrou sensível a intensidade do ruído adicionado no sinal de estímulo e também a frequência de estímulo. Já a fase preferencial dos Potenciais de Ação são sensíveis, segundo o modelo, apenas a frequência de estímulo. Tais resultados são condizentes com os resultados observados em experimentos empíricos de acoplamento efático neuronal. Observou-se que o modelo Integra-e-Dispara Quadrático com acoplamento efático é capaz de modelar com sucesso esta comunicação neuronal. Assim, o modelo possibilita a busca de novos estudos sobre a importância fisiológica do acoplamento efático no cérebro, incluindo implicações significativas em nossa compreensão do processamento cerebral para a neurociência. 2021-09-09T22:10:21Z 2021-09-09T22:10:21Z 2021-07-26 masterThesis CUNHA, 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. https://repositorio.ufrn.br/handle/123456789/33329 pt_BR Acesso Aberto application/pdf Universidade Federal do Rio Grande do Norte Brasil UFRN PROGRAMA DE PÓS-GRADUAÇÃO EM FÍSICA |