LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2

Autor: Robert C Cannon, Padraig eGleeson, Sharon eCrook, Gautham eGanapathy, Boris eMarin, Eugenio ePiasini, R. Angus eSilver

Publikováno v: Frontiers in Neuroinformatics, Vol 8 (2014)

Computational models are increasingly important for studying complex neurophysiological systems. As scientific tools, it is essential that such models can be reproduced and critically evaluated by a range of scientists. However, published models are

Externí odkaz: https://doaj.org/article/9d4c6d1b941e42da84747727b4cebea9

Comparison of the dynamics of neural interactions in integrate-and-fire networks with current-based and conductance-based synapses

Autor: Stefano eCavallari, Stefano ePanzeri, Alberto eMazzoni

Publikováno v: Frontiers in Neural Circuits, Vol 8 (2014)

Models of networks of Leaky Integrate-and-Fire neurons (LIF) are a widely used tool for theoretical investigations of brain function. These models have been used both with current- and conductance-based synapses. However, the differences in the dynam

Externí odkaz: https://doaj.org/article/3d2c25dd184f4a7689b755689a7b388b

Minimal time spiking in various ChR2-controlled neuron models

Autor: Emmanuel Trélat, Michèle Thieullen, Vincent Renault

Publikováno v: Journal of Mathematical Biology
Journal of Mathematical Biology, Springer Verlag (Germany), 2018, 76 (3), pp.567--608. ⟨10.1007/s00285-017-1101-1⟩
Journal of Mathematical Biology, Springer Verlag (Germany), 2018, 76 (3), pp.567--608
Journal of Mathematical Biology, 2018, 76 (3), pp.567--608. ⟨10.1007/s00285-017-1101-1⟩

International audience; We use conductance based neuron models and the mathematical modeling of Optogenetics to define controlled neuron models and we address the minimal time control of these affine systems for the first spike from equilibrium. We a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c26f609c09413eea3017ba6a1e15fa5
http://arxiv.org/abs/1607.05625

Estimation in the partially observed stochastic Morris–Lecar neuronal model with particle filter and stochastic approximation methods

Autor: Adeline Samson, Susanne Ditlevsen

Publikováno v: Annals Of Applied Statistics
Annals Of Applied Statistics, Institute Mathematical Statistics, 2014, 8 (2), pp.674-702. 〈10.1214/14-AOAS729 〉
Annals of Applied Statistics
Annals of Applied Statistics, Institute of Mathematical Statistics, 2014, 8 (2), pp.674-702. ⟨10.1214/14-AOAS729⟩
Ann. Appl. Stat. 8, no. 2 (2014), 674-702

Parameter estimation in multidimensional diffusion models with only one coordinate observed is highly relevant in many biological applications, but a statistically difficult problem. In neuroscience, the membrane potential evolution in single neurons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fccd5916297becc6f61a0470f10f2fc4
https://doi.org/10.1214/14-aoas729

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