Computational Models of Populations of Motor Neurons

Jakob L. Dideriksen, Dario Farina

Abstract

Two examples of applications of neuromechanical models are given, each highlighting different advantages of using simulations to support experimental tests. Both examples address pathological tremor; a common movement disorder related to several pathological conditions. The first example demonstrated how models can be applied to test the robustness of rehabilitation techniques when experimental data is sparse and when full parameter sensitivity analysis in patients is not feasible. Last, the sensitivity of internal physiological parameters on the motor output was assessed, for neuromuscular properties that cannot be measured experimentally.

References

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Paper Citation


in Harvard Style

L. Dideriksen J. and Farina D. (2013). Computational Models of Populations of Motor Neurons . In - DeNeuro, (NEUROTECHNIX 2013) ISBN , pages 0-0


in Bibtex Style

@conference{deneuro13,
author={Jakob L. Dideriksen and Dario Farina},
title={Computational Models of Populations of Motor Neurons},
booktitle={ - DeNeuro, (NEUROTECHNIX 2013)},
year={2013},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}


in EndNote Style

TY - CONF
JO - - DeNeuro, (NEUROTECHNIX 2013)
TI - Computational Models of Populations of Motor Neurons
SN -
AU - L. Dideriksen J.
AU - Farina D.
PY - 2013
SP - 0
EP - 0
DO -