Edited by: Dr Olivier Faugeras, Prof
Michele Thieullen
Theoretical and applied neuroscientists are in great need of stochastic models to account for sources of uncertainty in neural tissues in a mathematically rigorous framework allowing for quantitative descriptions and predictions.
Collection published: 17 April 2014
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Editorial
Editorial for the Special Issue on Uncertainty in the Brain Olivier Faugeras, Michèle Thieullen The Journal of Mathematical Neuroscience 2014, 4:7 (17 April 2014) |
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Deena R Schmidt, Peter J Thomas The Journal of Mathematical Neuroscience 2014, 4:6 (17 April 2014) |
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Research
How Uncertainty Bounds the Shape Index of Simple Cells D Barbieri, G Citti, A Sarti The Journal of Mathematical Neuroscience 2014, 4:5 (17 April 2014) |
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Alexandre Iolov, Susanne Ditlevsen, André Longtin The Journal of Mathematical Neuroscience 2014, 4:4 (17 April 2014) |
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Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis Patricia Reynaud-Bouret, Vincent Rivoirard, Franck Grammont, Christine Tuleau-Malot The Journal of Mathematical Neuroscience 2014, 4:3 (17 April 2014) |
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Large Deviations for Nonlocal Stochastic Neural Fields Christian Kuehn, Martin G Riedler The Journal of Mathematical Neuroscience 2014, 4:1 (17 April 2014) |
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A Density Model for a Population of Theta Neurons Grégory Dumont, Jacques Henry, Carmen Tarniceriu Journal of Mathematical Neuroscience 2014, 4:2 (17 April 2014) |
--------------------------------------------------------------------------------------- : Olivier Faugeras : Professor : Equipe INRIA NeuroMathComp Team : co-editor in chief, Journal of Mathematical Neuroscience : http://www-sop.inria.fr/members/Olivier.Faugeras/index.en.html : Email: olivier.faugeras@inria.fr : Tel: +334 92 38 78 31 : Sec: +334 92 38 78 30 : ---------------------------------------------------------------------------------------