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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons

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Pena, Rodrigo F. O. [1] ; Ceballos, Cesar C. [2, 1] ; Lima, Vinicius [1] ; Roque, Antonio C. [1]
Total Authors: 4
[1] Univ Sao Paulo, Sch Philosophy Sci & Letters Ribeirao Preto, Dept Phys, Ribeirao Preto - Brazil
[2] Univ Sao Paulo, Sch Med Ribeirao Preto, Dept Physiol, Ribeirao Preto - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Physical Review E; v. 97, n. 4 APR 10 2018.
Web of Science Citations: 1

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 tau(h)) are mainly responsible for controlling the frequency and existence of resonance. The increment of both factors (G(h)(Der) and tau(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. (AU)

FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants
FAPESP's process: 17/05874-0 - Models of neural networks with stochastic neurons and different topologies: construction and analysis
Grantee:Vinícius Lima Cordeiro
Support type: Scholarships in Brazil - Master
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Jefferson Antonio Galves
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 13/25667-8 - Mechanisms of propagation of epileptiform activity in a large-scale cortical model
Grantee:Rodrigo Felipe de Oliveira Pena
Support type: Scholarships in Brazil - Doctorate (Direct)