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Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons.
Pena, Rodrigo F O; Ceballos, Cesar C; Lima, Vinicius; Roque, Antonio C.
Afiliação
  • Pena RFO; Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
  • Ceballos CC; Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
  • Lima V; Department of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
  • Roque AC; Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
Phys Rev E ; 97(4-1): 042408, 2018 Apr.
Article em En | MEDLINE | ID: mdl-29758644
In a neuron with hyperpolarization activated current (I_{h}), the correct input frequency leads to an enhancement of the output response. This behavior is known as resonance and is well described by the neuronal impedance. In a simple neuron model we derive equations for the neuron's resonance and we link its frequency and existence with the biophysical properties of I_{h}. For a small voltage change, the component of the ratio of current change to voltage change (dI/dV) due to the voltage-dependent conductance change (dg/dV) is known as derivative conductance (G_{h}^{Der}). We show that both G_{h}^{Der} and the current activation kinetics (characterized by the activation time constant τ_{h}) are mainly responsible for controlling the frequency and existence of resonance. The increment of both factors (G_{h}^{Der} and τ_{h}) greatly contributes to the appearance of resonance. We also demonstrate that resonance is voltage dependent due to the voltage dependence of G_{h}^{Der}. Our results have important implications and can be used to predict and explain resonance properties of neurons with the I_{h} current.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenômenos Eletrofisiológicos / Modelos Neurológicos / Neurônios Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev E Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenômenos Eletrofisiológicos / Modelos Neurológicos / Neurônios Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev E Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos