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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.)

Asymmetrical voltage response in resonant neurons shaped by nonlinearities

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Author(s):
Pena, R. F. O. [1, 2, 3, 4] ; Lima, V. [2] ; Shimoura, R. O. [2] ; Ceballos, C. C. [5, 2] ; Rotstein, H. G. [6, 1, 3, 4, 7] ; Roque, A. C. [2]
Total Authors: 6
Affiliation:
[1] Rutgers State Univ, Newark, NJ 07102 - USA
[2] Univ Sao Paulo, Sch Philosophy Sci & Letters Ribeirao Preto, Dept Phys, BR-14040901 Ribeirao Preto - Brazil
[3] New Jersey Inst Technol, Federated Dept Biol Sci, Newark, NJ 07102 - USA
[4] New Jersey Inst Technol, Inst Brain & Neurosci Res, Newark, NJ 07102 - USA
[5] Univ Sao Paulo, Sch Med Ribeirao Preto, Dept Physiol, BR-14049900 Ribeirao Preto - Brazil
[6] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF - Argentina
[7] Rutgers State Univ, Behav Neurosci BNS Program, Grad Fac, Newark, NJ - USA
Total Affiliations: 7
Document type: Journal article
Source: Chaos; v. 29, n. 10 OCT 2019.
Web of Science Citations: 0
Abstract

The conventional impedance profile of a neuron can identify the presence of resonance and other properties of the neuronal response to oscillatory inputs, such as nonlinear response amplifications, but it cannot distinguish other nonlinear properties such as asymmetries in the shape of the voltage response envelope. Experimental observations have shown that the response of neurons to oscillatory inputs preferentially enhances either the upper or lower part of the voltage envelope in different frequency bands. These asymmetric voltage responses arise in a neuron model when it is submitted to high enough amplitude oscillatory currents of variable frequencies. We show how the nonlinearities associated to different ionic currents or present in the model as captured by its voltage equation lead to asymmetrical response and how high amplitude oscillatory currents emphasize this response. We propose a geometrical explanation for the phenomenon where asymmetries result not only from nonlinearities in their activation curves but also from nonlinearites captured by the nullclines in the phase-plane diagram and from the system's time-scale separation. In addition, we identify an unexpected frequency-dependent pattern which develops in the gating variables of these currents and is a product of strong nonlinearities in the system as we show by controlling such behavior by manipulating the activation curve parameters. The results reported in this paper shed light on the ionic mechanisms by which brain embedded neurons process oscillatory information. Published under license by AIP Publishing. (AU)

FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
Grantee:Elbert Einstein Nehrer Macau
Support Opportunities: 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 Opportunities: Scholarships in Brazil - Master
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: 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 Opportunities: Scholarships in Brazil - Doctorate (Direct)