The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors

John M. Allen; Sherif M. Elbasiouny

doi:10.1088/1741-2552/aa9db5

The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors

Wright State University

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	036024
Journal	Journal of Neural Engineering
Volume	15
Issue number	3
DOIs	https://doi.org/10.1088/1741-2552/aa9db5
State	Published - Apr 6 2018

ASJC Scopus Subject Areas

Biomedical Engineering
Cellular and Molecular Neuroscience

Keywords

computational modeling
computer simulations
motoneuron recruitment
size principle
computational modeling, computer simulations, motoneuron recruitment, size principle

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10.1088/1741-2552/aa9db5

Cite this

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title = "The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors",

keywords = "computational modeling, computer simulations, motoneuron recruitment, size principle, computational modeling, computer simulations, motoneuron recruitment, size principle",

author = "Allen, {John M.} and Elbasiouny, {Sherif M.}",

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day = "6",

doi = "10.1088/1741-2552/aa9db5",

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T1 - The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors

AU - Allen, John M.

AU - Elbasiouny, Sherif M.

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KW - computer simulations

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KW - size principle

KW - computational modeling, computer simulations, motoneuron recruitment, size principle

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ER -

The effects of model composition design choices on high-fidelity simulations of motoneuron recruitment and firing behaviors

ASJC Scopus Subject Areas

Keywords

Access to Document

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