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Dataset Information

Bifurcation analysis of motoneuronal excitability mechanisms under normal and ALS conditions.


ABSTRACT:

Introduction

Bifurcation analysis allows the examination of steady-state, non-linear dynamics of neurons and their effects on cell firing, yet its usage in neuroscience is limited to single-compartment models of highly reduced states. This is primarily due to the difficulty in developing high-fidelity neuronal models with 3D anatomy and multiple ion channels in XPPAUT, the primary bifurcation analysis software in neuroscience.

Methods

To facilitate bifurcation analysis of high-fidelity neuronal models under normal and disease conditions, we developed a multi-compartment model of a spinal motoneuron (MN) in XPPAUT and verified its firing accuracy against its original experimental data and against an anatomically detailed cell model that incorporates known MN non-linear firing

SUBMITTER: Moustafa M 

PROVIDER: S-EPMC9978418 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature