A model based rule for selecting spiking thresholds in neuron models

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Standard

A model based rule for selecting spiking thresholds in neuron models. / Mikkelsen, Frederik Riis.

I: Mathematical Biosciences and Engineering, Bind 13, Nr. 2, 06.2016, s. 569-578.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mikkelsen, FR 2016, 'A model based rule for selecting spiking thresholds in neuron models', Mathematical Biosciences and Engineering, bind 13, nr. 2, s. 569-578. https://doi.org/10.3934/mbe.2016008

APA

Mikkelsen, F. R. (2016). A model based rule for selecting spiking thresholds in neuron models. Mathematical Biosciences and Engineering, 13(2), 569-578. https://doi.org/10.3934/mbe.2016008

Vancouver

Mikkelsen FR. A model based rule for selecting spiking thresholds in neuron models. Mathematical Biosciences and Engineering. 2016 jun.;13(2):569-578. https://doi.org/10.3934/mbe.2016008

Author

Mikkelsen, Frederik Riis. / A model based rule for selecting spiking thresholds in neuron models. I: Mathematical Biosciences and Engineering. 2016 ; Bind 13, Nr. 2. s. 569-578.

Bibtex

@article{1d661fa69812409980cbdc5727806a4f,
title = "A model based rule for selecting spiking thresholds in neuron models",
keywords = "Dynamical systems, Hodgkin-Huxley, excitability, neuron modelling, spiking, threshold selection",
author = "Mikkelsen, {Frederik Riis}",
year = "2016",
month = jun,
doi = "10.3934/mbe.2016008",
language = "English",
volume = "13",
pages = "569--578",
journal = "Mathematical Biosciences and Engineering",
issn = "1547-1063",
publisher = "American Institute of Mathematical Sciences",
number = "2",

}

RIS

TY - JOUR

T1 - A model based rule for selecting spiking thresholds in neuron models

AU - Mikkelsen, Frederik Riis

PY - 2016/6

Y1 - 2016/6

KW - Dynamical systems

KW - Hodgkin-Huxley

KW - excitability

KW - neuron modelling

KW - spiking

KW - threshold selection

U2 - 10.3934/mbe.2016008

DO - 10.3934/mbe.2016008

M3 - Journal article

VL - 13

SP - 569

EP - 578

JO - Mathematical Biosciences and Engineering

JF - Mathematical Biosciences and Engineering

SN - 1547-1063

IS - 2

ER -

ID: 169132644