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Olivier Faugeras

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TOP 3
James Rankin; Emilien Tlapale; Romain Veltz; Olivier Faugeras; Pierre Kornprobst
Bifurcation analysis applied to a model of motion integration with a multistable stimulus.
Mathieu N Galtier; Olivier Faugeras; Paul C Bressloff
Hebbian learning of recurrent connections: a geometrical perspective.
Javier Baladron; Diego Fasoli; Olivier Faugeras; Jonathan Touboul
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons.

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All Publications

2013: James Rankin; Emilien Tlapale; Romain Veltz; Olivier Faugeras; Pierre Kornprobst
Bifurcation analysis applied to a model of motion integration with a multistable stimulus.
Journal of computational neuroscience 2013;34(1):103-24.
2012: Mathieu N Galtier; Olivier Faugeras; Paul C Bressloff
Hebbian learning of recurrent connections: a geometrical perspective.
Neural computation 2012;24(9):2346-83.
2012: Javier Baladron; Diego Fasoli; Olivier Faugeras; Jonathan Touboul
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons.
Journal of mathematical neuroscience 2012;2(1):10.
2011: Jonathan Touboul; Fabrice Wendling; Patrick Chauvel; Olivier Faugeras
Neural mass activity, bifurcations, and epilepsy.
Neural computation 2011;23(12):3232-86.
2011: Thomas Deneux; Olivier Faugeras; Guillaume S Masson; Sylvain Takerkart; Ivo Vanzetta
A new variational method for erythrocyte velocity estimation in wide-field imaging in vivo.
IEEE transactions on medical imaging 2011;30(8):1527-45.
2011: Romain Veltz; Olivier Faugeras
Stability of the stationary solutions of neural field equations with propagation delays.
Journal of mathematical neuroscience 2011;1(1):1.
2009: Olivier Faugeras; Romain Veltz; François Grimbert
Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks.
Neural computation 2009;21(1):147-87.
2009: Olivier Faugeras; Jonathan Touboul; Bruno Cessac
A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputs.
Frontiers in computational neuroscience 2009;3():1.
2007: Olivier Faugeras; Yves Frégnac; Manuel Samuelides
A future for systems and computational neuroscience in France?
Journal of physiology, Paris 2007;101(1-3):1-8.
2007: Jonathan Touboul; Olivier Faugeras
The spikes trains probability distributions: a stochastic calculus approach.
Journal of physiology, Paris 2007;101(1-3):78-98.
2006: François Grimbert; Olivier Faugeras
Bifurcation analysis of Jansen's neural mass model.
Neural computation 2006;18(12):3052-68.
2006: Thomas Deneux; Olivier Faugeras
Using nonlinear models in fMRI data analysis: model selection and activation detection.
NeuroImage 2006;32(4):1669-89.
2006: Jan Kybic; Maureen Clerc; Olivier Faugeras; Renaud Keriven; Théo Papadopoulo
Generalized head models for MEG/EEG: boundary element method beyond nested volumes.
Physics in medicine and biology 2006;51(5):1333-46.
2005: Jan Kybic; Maureen Clerc; Olivier Faugeras; Renaud Keriven; Théo Papadopoulo
Fast multipole acceleration of the MEG/EEG boundary element method.
Physics in medicine and biology 2005;50(19):4695-710.
2005: Christophe Lenglet; Mikaël Rousson; Rachid Deriche; Olivier Faugeras; Stéphane Lehericy; Kamil Ugurbil
A Riemannian approach to diffusion tensor images segmentation.
Information processing in medical imaging : proceedings of the ... conference 2005;19():591-602.
2005: Jan Kybic; Maureen Clerc; Toufic Abboud; Olivier Faugeras; Renaud Keriven; Théo Papadopoulo
A common formalism for the integral formulations of the forward EEG problem.
IEEE transactions on medical imaging 2005;24(1):12-28.
2004: Bertrand Thirion; Olivier Faugeras
Feature characterization in fMRI data: the Information Bottleneck approach.
Medical image analysis 2004;8(4):403-19.
2004: Olivier Faugeras; Geoffray Adde; Guillaume Charpiat; Christophe Chefd'hotel; Maureen Clerc; Thomas Deneux; Rachid Deriche; Gerardo Hermosillo; Renaud Keriven; Pierre Kornprobst; Jan Kybic; Christophe Lenglet; Lucero Lopez-Perez; Théo Papadopoulo; Jean-Philippe Pons; Florent Segonne; Bertrand Thirion; David Tschumperlé; Thierry Viéville; Nicolas Wotawa
Variational, geometric, and statistical methods for modeling brain anatomy and function.
NeuroImage 2004;23 Suppl 1():S46-55.
2003: Bertrand Thirion; Olivier Faugeras
Dynamical components analysis of fMRI data through kernel PCA.
NeuroImage 2003;20(1):34-49.
2003: Denis Fize; Wim Vanduffel; Koen Nelissen; Katrien Denys; Christophe Chef d'Hotel; Olivier Faugeras; Guy A Orban
The retinotopic organization of primate dorsal V4 and surrounding areas: A functional magnetic resonance imaging study in awake monkeys.
The Journal of neuroscience : the official journal of the Society for Neuroscience 2003;23(19):7395-406.
2003: Geoffray Adde; Maureen Clerc; Olivier Faugeras; Renaud Keriven; Jan Kybic; Théo Papadopoulo
Symmetric BEM formulation for the M/EEG forward problem.
Information processing in medical imaging : proceedings of the ... conference 2003;18():524-35.
2001: L M Lorigo; Olivier Faugeras; W Eric L Grimson; R Keriven; Ron Kikinis; Arya Nabavi; Carl-Fredrik Westin
CURVES: curve evolution for vessel segmentation.
Medical image analysis 2001;5(3):195-206.
1998: Olivier Faugeras; Renaud Keriven
Variational principles, surface evolution, PDE's, level set methods, and the stereo problem.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1998;7(3):336-44.
1986: N Ayache; Olivier Faugeras
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects.
IEEE transactions on pattern analysis and machine intelligence 1986;8(1):44-54.
1984: B Bhanu; Olivier Faugeras
Shape matching of two-dimensional objects.
IEEE transactions on pattern analysis and machine intelligence 1984;6(2):137-56.
1982: B Bhanu; Olivier Faugeras
Segmentation of images having unimodal distributions.
IEEE transactions on pattern analysis and machine intelligence 1982;4(4):408-19.
1981: Olivier Faugeras; K E Price
Semantic description of aerial images using stochastic labeling.
IEEE transactions on pattern analysis and machine intelligence 1981;3(6):633-42.
1981: Olivier Faugeras; M Berthod
Improving consistency and reducing ambiguity in stochastic labeling: an optimization approach.
IEEE transactions on pattern analysis and machine intelligence 1981;3(4):412-24.
1980: Olivier Faugeras; W K Pratt
Decorrelation methods of texture feature extraction.
IEEE transactions on pattern analysis and machine intelligence 1980;2(4):323-32.