Reduced order models of myelinated axonal compartments-Reference-Cited by-同舟云学术

Reduced order models of myelinated axonal compartments

Published:2019-10-28 Issue:2-3 Volume:47 Page:141-166
ISSN:0929-5313
Container-title:Journal of Computational Neuroscience
language:en
Short-container-title:J Comput Neurosci

Author:

Ioan Daniel,Bărbulescu Ruxandra^ORCID,Silveira Luis Miguel,Ciuprina Gabriela

Funder

European Cooperation in Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems

Link

http://link.springer.com/content/pdf/10.1007/s10827-019-00726-4.pdf

Reference65 articles.

1. Abramowitz, M., Stegun, I.A., Romer, R.H. (1988). Handbook of mathematical functions with formulas, graphs and mathematical tables.

2. Antoulas, A.C., Sorensen, D.C., Gugercin, S. (2001). A survey of model reduction methods for large-scale systems. Contemporary Mathematics, 280, 193–220.

3. Bărbulescu, R., Ioan, D., Ciuprina, G. (2018). Modeling the saltatory conduction in myelinated axons by order reduction. In 2018 20th international conference on neuroinformatics and computational neuroscience (ICNCN) (pp. 2059–2062).

4. Bărbulescu, R., Ioan, D., Ciuprina, G. (2019). Coupled macromodels for the simulation of the saltatory conduction. Scientific Bulletin Series C (under review).

5. Bărbulescu, R., Ioan, D., Ciurea, J. (2016). Simple 1d models for neuro-signals transmission along axons. In 2016 international conference and exposition on electrical and power engineering (EPE) (pp. 313–319): IEEE.

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