Team Odyssée

Members
Overall Objectives
Scientific Foundations
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Bibliography

Major publications by the team in recent years

[1]
G. Aubert, P. Kornprobst.
Mathematical problems in image processing: partial differential equations and the calculus of variations (Second edition), Applied Mathematical Sciences, Springer-Verlag, 2006, vol. 147.
[2]
C. Bénar, M. Clerc, T. Papadopoulo.
Adaptive time-frequency models for single-trial M/EEG analysis, in: Information Processing in Medical Imaging, Karssemeijer, Lelieveldt (editors), Lecture Notes in Computer Science, Springer, 2007, vol. 4584, p. 458–469
http://www.springerlink.com/content/p6n9150253566121/.
[3]
R. Brette, W. Gerstner.
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity, in: Journal of Neurophysiology, 2005, vol. 94, p. 3637–3642.
[4]
R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J. M. Bower, M. Diesmann, A. Morrison, P. H. Goodman, F. C. J. Harris, M. Zirpe, T. Natschläger, D. Pecevski, B. Ermentrout, M. Djurfeldt, A. Lansner, O. Rochel, T. Viéville, E. Muller, A. P. Davison, S. E. Boustani, A. Destexhe.
Simulation of networks of spiking neurons: a review of tools and strategies, in: Journal of Computational Neuroscience, 2007, vol. 23, no 3, p. 349–398.
[5]
M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
Apparent Diffusion Coefficients from High Angular Resolution Diffusion Imaging: Estimation and Applications, in: Magnetic Resonance in Medicine, 2006, vol. 56, p. 395–410
ftp://ftp-sop/odyssee/Publications/2006/descoteaux-angelino-etal:06c.pdf.
[6]
M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
Regularized, Fast, and Robust Analytical Q-Ball Imaging, in: Magnetic Resonance in Medicine, 2007, vol. 58, no 3, p. 497–510
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-angelino-etal:07.pdf.
[7]
O. Faugeras, G. Adde, G. Charpiat, C. Chefd'Hotel, M. Clerc, T. Deneux, R. Deriche, G. Hermosillo, R. Keriven, P. Kornprobst, J. Kybic, C. Lenglet, L. Lopez-Perez, T. Papadopoulo, J.-P. Pons, F. Ségonne, B. Thirion, D. Tschumperlé, T. Viéville, N. Wotawa.
Variational, geometric, and statistical methods for modeling brain anatomy and function, in: NeuroImage, Special issue: Mathematics in Brain Imaging - Edited by P.M. Thompson, M.I. Miller, T. Ratnanather, R.A. Poldrack and T.E. Nichols., 2004, vol. 23S1, p. S46-S55.
[8]
F. Grimbert, O. Faugeras.
Bifurcation Analysis of Jansen's Neural Mass Model, in: Neural Computation, December 2006, vol. 18, no 12, p. 3052–3068.
[9]
J. Kybic, M. Clerc, T. Abboud, O. Faugeras, R. Keriven, T. Papadopoulo.
A Common Formalism for the Integral Formulations of the Forward EEG Problem, in: IEEE Transactions on Medical Imaging, jan 2005, vol. 24, p. 12–28.
[10]
C. Lenglet, M. Rousson, R. Deriche, 0. Faugeras.
Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing, in: Journal of Mathematical Imaging and Vision, October 2006, vol. 25, no 3, p. 423-444
ftp://ftp-sop.inria.fr/odyssee/Publications/2006/lenglet-rousson-etal:06.pdf.
[11]
C. Lenglet, M. Rousson, R. Deriche.
DTI Segmentation by Statistical Surface Evolution, in: IEEE Transactions on Medical Imaging,, jun 2006, vol. 25, no 06, p. 685–700
ftp://ftp-sop/odyssee/Publications/2006/lenglet-rousson-etal:06c.pdf.
[12]
T. Papadopoulo, S. Vallaghé.
Implicit Meshing for Finite Element Methods using Levelsets, in: Proceedings of MMBIA 07, 2007.
[13]
J. Touboul, O. Faugeras.
First hitting time of Double Integral Processes to curved boundaries, Research Report, Odyssee, INRIA, 2007, no RR-6264
http://hal.inria.fr/inria-00166335/fr/.
[14]
J. Touboul, O. Faugeras.
The spikes trains probability distributions: a stochastic calculus approach, in: Journal of Physiology, Paris, dec 2007, vol. 101/1-3, p. 78–98.
[15]
J. Touboul.
Bifurcation analysis of a general class of non-linear integrate and fire neurons., in: SIAM Journal of Applied Mathematics, to appear, 2007.
[16]
S. Vallaghé, M. Clerc, J. Badie.
In vivo conductivity estimation using somatosensory evoked potentials and cortical constraint on the source, in: Proceedings of ISBI 2007, apr 2007, p. 1036–1039
http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4193197&arnumber=4193466&count=356&index=268.
[17]
T. Viéville, S. Chemla, P. Kornprobst.
How do high-level specifications of the brain relate to variational approaches?, in: Journal of Physiology - Paris, 2007, vol. 101/1-3, p. 118–135
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/vieville-chemla-etal:07.pdf.

Publications of the year

Books and Monographs

[18]
N. Ayache, S. Ourselin, A. Maeder (editors)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, Lecture Notes in Computer Science, Springer, 2007, vol. 4791.
[19]
Sixteenth Annual Computational Neuroscience Meeting (CNS), jul 2007
http://www.cnsorg.org/Archives2007.htm.
[20]
Proceedings of the International Conference on Computer Vision and Pattern Recognition, jun 2007.
[21]
Perception 36 ECVP Abstract Supplement, 2007
http://www.ecvp2007.org/index.cfm.
[22]
Proceedings of the 11th International Conference on Computer Vision, 2007.
[23]
Proceedings of Scale Space and Variational Methods in Computer Visions, LNCS, 2007, vol. 4485.

Doctoral dissertations and Habilitation theses

[24]
M. Clerc.
Brain functional imaging: simulation, calibration and estimation, Habilitation à diriger des recherches, Université de Nice Sophia Antipolis, nov 2007.
[25]
P. Kornprobst.
Contributions en modélisation de la vision algorithmique et bio-inspirée, 14 décembre 2007, Université de Nice-Sophia Antipolis, dec 2007
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/kornprobst:07.pdf.

Articles in refereed journals and book chapters

[26]
L. Alvarez, R. Deriche, T. Papadopoulo, J. Sànchez.
Symmetrical Dense Optical Flow Estimation with Occlusions Detection, in: International Journal of Computer Vision, dec 2007, vol. 75, no 3, p. 371-385
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/alvarez-deriche-etal:07.pdf.
[27]
R. Brette, M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J. M. Bower, M. Diesmann, A. Morrison, P. H. Goodman, F. C. H. Jr., M. Zirpe, T. Natschläger, D. Pecevski, B. Ermentrout, M. Djurfeldt, A. Lansner, O. Rochel, T. Vieville, E. Muller, A. P. Davison, S. E. Boustani, A. Destexhe.
Simulation of networks of spiking neurons: a review of tools and strategies, in: Journal of Computational Neuroscience, 2007, vol. 23, no 3, p. 349–398.
[28]
R. Brette.
Exact simulation of integrate-and-fire models with exponential currents, in: Neural Computation, 2007, vol. 19, no 10, p. 2604–2609.
[29]
R. Brette.
The Cauchy problem for one-dimensional spiking neuron models, in: Cognitive Neurodynamics, 2007, vol. 2, no 1, p. 21–27
http://www.springerlink.com/content/53ll44206327p452.
[30]
B. Cessac.
Does the complex susceptibility of the Hénon map have a pole in the upper-half plane ? A numerical investigation., in: Nonlinearity, dec 2007, vol. 20, p. 2883–2895.
[31]
B. Cessac, M. Samuelides.
From neuron to neural networks dynamics., in: EPJ Special topics: Topics in Dynamical Neural Networks, 2007, vol. 142, no 1, p. 7–88.
[32]
G. Charpiat, P. Maurel, J.-P. Pons, R. Keriven, O. Faugeras.
Generalized gradients: Priors on minimization flows, in: The International Journal of Computer Vision, jul 2007, vol. 73, no 3, p. 325-344
http://www.enpc.fr/certis/publications/papers/07ijcv_b.pdf.
[33]
M. Clerc, J. Kybic.
Cortical mapping by Laplace-Cauchy transmission using a boundary element method, in: Inverse Problems, 2007, vol. 23, p. 2589–2601
http://stacks.iop.org/0266-5611/23/2589.
[34]
D. Cremers, M. Rousson, R. Deriche.
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape., in: International Journal of Computer Vision, 2007, vol. 72, no 2, p. 195-215
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/cremers-rousson-etal:07.pdf.
[35]
M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
Regularized, Fast, and Robust Analytical Q-Ball Imaging, in: Magnetic Resonance in Medicine, 2007, vol. 58, no 3, p. 497–510
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-angelino-etal:07.pdf.
[36]
O. Faugeras, Y. Frégnac, M. Samuelides.
A Future for Systems and Computational Neuroscience in France?, in: Journal of Physiology, Paris, dec 2007, vol. 101/1-3, p. 1–8
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/faugeras-fregnac-etal:07.
[37]
J. Pons, R. Keriven, O. Faugeras.
Multi-view stereo reconstruction and scene flow estimation with a global image-based matching score, in: International Journal of Computer Vision, apr 2007, vol. 72, no 2, p. 179–193.
[38]
M. Samuelides, B. Cessac.
Random Recurrent Neural Networks, in: European Physical Journal - Special Topics, 2007, vol. 142, p. 7–88.
[39]
B. Siri, H. Berry, B. Cessac, B. Delord, M. Quoy.
A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random re current neural networks, in: Neural Computation, 2007, vol. 20, no 12, p. 2937-2966.
[40]
B. Siri, H. Berry, B. Cessac, B. Delord, M. Quoy.
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons, in: Journal of Physiology, 2007, vol. 101, no 1-3, p. 136-148.
[41]
J. Touboul, O. Faugeras.
The spikes trains probability distributions: a stochastic calculus approach, in: Journal of Physiology, Paris, dec 2007, vol. 101/1-3, p. 78–98.
[42]
T. Viéville, S. Chemla, P. Kornprobst.
How do high-level specifications of the brain relate to variational approaches?, in: Journal of Physiology - Paris, 2007, vol. 101, no 1-3, p. 118–135
http://dx.doi.org/10.1016/j.jphysparis.2007.10.010.

Publications in Conferences and Workshops

[43]
A. Anwander, M. Descoteaux, R. Deriche.
Probabilistic Q-Ball Tractography Solves Crossings of Callosal Fibers, in: Human Brain Mapping, Chicago, Illinois, USA, The Organization for Human Brain Mapping, 2007
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/anwander-descoteaux-etal:07.pdf.
[44]
C. Benar, T. Papadopoulo, M. Clerc.
Topography time-frequency atomic decomposition for event related M/EEG signals, in: proceedings of 29th annual international IEEE EMBS conference, 2007, p. 5461–5464.
[45]
C. Bénar, M. Clerc, T. Papadopoulo.
Adaptive time-frequency models for single-trial M/EEG analysis, in: Information Processing in Medical Imaging, Karssemeijer, Lelieveldt (editors), Lecture Notes in Computer Science, Springer, 2007, vol. 4584, p. 458–469
http://www.springerlink.com/content/p6n9150253566121/.
[46]
G. Charpiat, O. Faugeras, R. Keriven.
Shape Statistics for Image Segmentation with Prior, in: Proceedings of the International Conference on Computer Vision and Pattern Recognition, jun 2007
http://www.enpc.fr/certis/publications/papers/07cvpr_a.pdf.
[47]
S. Chemla, F. Chavane, T. Vieville, P. Kornprobst.
Biophysical cortical column model for optical signal analysis, jul 2007
http://www.cnsorg.org/Archives2007.htm.
[48]
M. Clerc, A. Gramfort, P. Landreau, T. Papadopoulo.
MEG and EEG processing with OpenMEEG, in: Proceedings of Neuromath, 2007.
[49]
B. Cottereau, J. Laurenceau, A. Gramfort, B. Thirion, M. Clerc, S. Baillet.
Fast Retinotopic Mapping of Visual Fields using MEG, in: Proceedings of the of Neuromath, 2007.
[50]
R. Deriche, M. Descoteaux.
Splitting Tracking Through Crossing Fibers: Multidirectional Q-Ball Tracking, in: 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07), Arlington, Virginia, USA, 2007, p. 756–759
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/deriche-descoteaux:07.pdf.
[51]
M. Descoteaux, R. Deriche.
Segmentation of Q-Ball Images Using Statistical Surface Evolution, in: Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer (editor), nov 2007, vol. LNCS
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-deriche:07b.pdf.
[52]
M. Descoteaux, R. Deriche.
Sharpening Improves Clinically Feasible Q-Ball Imaging Reconstructions, in: Proceedings of the International Society of Magnetic Resonance in Medicine, International Society of Magnetic Resonance in Medicine, 19-25th May 2007, 906 p
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-deriche:07.pdf.
[53]
M. Descoteaux, R. Deriche, C. Lenglet.
Diffusion Tensor Sharpening Improves White Matter Tractography, in: SPIE Medical Imaging, San Diego, California, USA, Febuary 2007
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-deriche-etal:07.pdf.
[54]
M. Descoteaux, P. Savadjiev, J. S. W. Campbell, G. B. Pike, K. Siddiqi, R. Deriche.
Validation and Comparison of Analytical Q-Ball Imaging Methods, in: 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07), Arlington, Virginia, USA, April 2007, p. 1084–1087
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-savadjiev-etal:07.pdf.
[55]
M.-J. Escobar, P. Kornprobst, T. Vieville.
Spike to Spike MT Model and Applications, jul 2007
http://www.cnsorg.org.
[56]
P. Etyngier, R. Keriven, J.-P. Pons.
Towards Segmentation based on a Shape Prior Manifold, LNCS, 2007, vol. 4485.
[57]
P. Etyngier, R. Keriven, J.-P. Pons.
Towards segmentation based on a shape prior manifold, LNCS, may 2007, vol. 4485
http://www.enpc.fr/certis/publications/papers/SSVM07.pdf.
[58]
P. Etyngier, R. Keriven, F. Ségonne.
Projection Onto a Shape Manifold for Image Segmentation with Prior, in: 14th IEEE International Conference on Image Processing, sep 2007
http://www.enpc.fr/certis/publications/papers/ICIP2007.pdf.
[59]
P. Etyngier, F. Ségonne, R. Keriven.
Active-Contour-Based Image Segmentation using Machine Learning Techniques, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, N. Ayache, S. Ourselin, A. Maeder (editors), Lecture Notes in Computer Science, Springer, oct 2007, vol. 4791, p. 891-899
http://www.enpc.fr/certis/publications/papers/MICCAI07.pdf.
[60]
P. Etyngier, F. Ségonne, R. Keriven.
Shape priors using Manifold Learning Techniques, oct 2007
http://www.enpc.fr/certis/publications/papers/07iccv_c.pdf.
[61]
O. Faugeras, J.-J. Slotine.
Synchronizing a 2D continuum of two populations of neural masses, jul 2007, 105 p
http://www.cnsorg.org/Archives2007.htm.
[62]
L. Gérard, P. Kornprobst, T. Viéville.
From variational to spiking network image-segmentation techniques, in: Perception 36 ECVP Abstract Supplement, 2007
http://www.ecvp2007.org/index.cfm.
[63]
A. Gramfort, M. Clerc.
Low dimensional representations of MEG/EEG data using laplacian eigenmaps, in: NFSI 2007: Proceedings of the 6th International Symposium, oct 2007, p. 169-172
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/gramfort-clerc:07.pdf.
[64]
A. Gramfort, B. Cottereau, M. Clerc, B. Thirion, S. Baillet.
Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps, in: EMBC 2007: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, aug 2007, p. 4945-4948
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/gramfort-cottereau-etal:07.pdf.
[65]
S. Jacquir, J. Fruitet, D. Guiraud, M. Clerc.
Computation of the electrical potential inside the nerve induced by an electrical stimulus, in: EMBC 2007: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007.
[66]
J. Kybic, O. Faugeras, M. Clerc, T. Papadopoulo.
Neural mass model parameter identification for MEG/EEG, in: Proceedings of SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, A. Manduca, X. P. Hu (editors), 2007.
[67]
T. Papadopoulo, S. Vallaghé.
Implicit Meshing for Finite Element Methods using Levelsets, in: Proceedings of MMBIA 07, 2007.
[68]
M. Péchaud, R. Keriven, T. Papadopoulo, J.-M. Badier.
Automatic labeling of EEG electrodes using combinatorial optimization, in: EMBC 2007: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, aug 2007.
[69]
M. Péchaud, R. Keriven, T. Papadopoulo, J.-M. Badier.
Combinatorial optimization for electrode labeling of EEG Caps, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007, N. Ayache, S. Ourselin, A. Maeder (editors), Lecture Notes in Computer Science, Springer, oct 2007, vol. 4791
http://www.enpc.fr/certis/publications/papers/MICCAI07.pdf.
[70]
J. Piovano, M. Rousson, T. Papadopoulo.
Efficient Segmentation of Piecewise Smooth Images, in: Proceedings of Scale Space and Variational Methods in Computer Visions, LNCS, 2007, vol. 4485.
[71]
J. Platkiewicz, R. Brette.
A dynamical system analysis of the adaptive spike threshold, in: CNS'07 (Toronto), 2007.
[72]
A. Ramirez-Manzanares, M. Rivera, P. Kornprobst, F. Lauze.
A Variational Approach for Multi-Valued Velocity Field Estimation in Transparent Sequences, LNCS, 2007, vol. 4485, p. 227–238
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/ramirez-manzanares-rivera-etal:07.pdf.
[73]
P. Savadjiev, J. S. W. Campbell, M. Descoteaux, R. Deriche, G. B. Pike, K. Siddiqi.
Disambiguation of Complex Subvoxel Fibre Configurations in High Angular Resolution Fibre Tractography, in: Joint Annual Meeting ISMRM-ESMRMB, International Society of Magnetic Resonance in Medicine, 19-25th May 2007, 1477 p
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/savadjiev-campbell-etal:07.pdf.
[74]
É. Tlapale, G. Masson, T. Viéville, P. Kornprobst.
Model of motion field diffusion controlled by form cues, sep 2007
http://www.perceptionweb.com/abstract.cgi?id,owner=pkornp.
[75]
S. Vallaghé, M. Clerc.
Conductivity estimation for EEG: what is relevant ?, in: Proceedings of NFSI 2007, oct 2007.
[76]
S. Vallaghé, M. Clerc, J. Badier.
In vivo conductivity estimation using somatosensory evoked potentials and cortical constraint on the source, in: Proceedings of ISBI 2007, apr 2007, p. 1036–1039
http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber,isbn=1-4244-0672-2,owner=papadop.
[77]
D. Wassermann, R. Deriche.
Avoiding Artifacts in Spectral white matter fiber clustering and embedding, in: Proceedings of the 13th Organization for Human Brain Mapping Annual Meeting, Neuroimage, Elsevier, Organization for the Human Brain Mapping, jun 2007, vol. 36.
[78]
D. Wassermann, M. Descoteaux, R. Deriche.
Diffusion Maps Segmentation of Magnetic Resonance Q-Ball Imaging, in: MMBIA 2007: IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, IEEE, oct 2007
http://lmi.bwh.harvard.edu/MMBIA07/WebHome.

Internal Reports

[79]
G. Aubert, P. Kornprobst.
New algorithm for solving variational problems in W ( 1,p) and BV: Application to image restoration, Technical report, INRIA, jul 2007, no RR-6245
https://hal.inria.fr/inria-00161706.
[80]
M. Clerc, J. Kybic.
Cortical mapping by Laplace-Cauchy transmission using a boundary element method, accepted for publication in Inverse Problems, INRIA, 2007
http://hal.inria.fr/inria-00180229/en/.
[81]
M. Descoteaux, R. Deriche.
Q-Ball Images Segmentation Using Region-Based Statistical Surface Evolution, Technical report, INRIA Sophia Antipolis - Méditerranée, August 2007, no 6257
http://hal.archives-ouvertes.fr/docs/00/16/59/43/PDF/RR-6257.pdf.
[82]
M. Descoteaux, R. Deriche, A. Anwander.
Deterministic and Probabilistic Q-Ball Tractography: from Diffusion to Sharp Fiber Distributions, Technical report, INRIA Sophia Antipolis, July 2007, no 6273
http://hal.archives-ouvertes.fr/docs/00/16/86/58/PDF/RR-6273.pdf.
[83]
M.-J. Escobar, G. Masson, T. Vieville, P. Kornprobst.
Spike to Spike Model and Applications: A biological plausible approach for motion processing, Research Report, INRIA, 2007, no 6280
https://hal.inria.fr/inria-00170153.
[84]
O. Faugeras, F. Grimbert.
Bumps in simple two-dimensional neural field models, RR, INRIA, dec 2007, no 6375.
[85]
O. Faugeras, F. Grimbert, J.-J. Slotine.
Stability and Synchronization in Neural Fields, Technical report, INRIA, 2007, no RR-6212
http://hal.inria.fr/inria-00153052/fr/.
[86]
O. Faugeras, R. Veltz, F. Grimbert.
Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks, Technical report, INRIA, 2007
http://hal.inria.fr/inria-00198808/fr/.
[87]
L. Gérard.
From variational to spiking network image segmentation techniques, Technical report, INRIA, may 2007.
[88]
F. Grimbert.
A brief overview of intracortical circuits, RR, INRIA, oct 2007, no 6325.
[89]
I. Kokkinos, R. Deriche, T. Papadopoulo, O. Faugeras, P. Maragos.
Towards bridging the Gap between Biological and Computational Image Segmentation, Research Report, INRIA, 2007, no 6317
https://hal.inria.fr/inria-00176890.
[90]
E. Olivi.
Comparaisons quantitatives de résultats de problème direct EEG, Research Report, INRIA, 11 2007, no 6364
https://hal.inria.fr/inria-00189515.
[91]
É. Tlapale, G. Masson, P. Kornprobst.
Biological model of motion integration and segmentation based on form cues, Technical report, INRIA, sep 2007, no RR-6293
http://hal.inria.fr/inria-00172412.
[92]
J. Touboul, O. Faugeras.
First hitting time of Double Integral Processes to curved boundaries, Research Report, Odyssee, INRIA, 2007, no RR-6264
http://hal.inria.fr/inria-00166335/fr/.
[93]
J. Touboul, O. Faugeras.
The spikes trains probability distributions: a stochastic calculus approach, Research Report, Odyssee, INRIA, 2007, no : RR-6224
https://hal.inria.fr/inria-00156557.
[94]
J. Touboul, O. Faugeras.
The spikes trains probability distributions: a stochastic calculus approach, Research Report, Odyssee, INRIA, 2007, no RR-6224
https://hal.inria.fr/inria-00156557.
[95]
J. Touboul.
Bifurcation analysis of a general class of non-linear integrate and fire neurons., Research Report, Odyssee, INRIA, 2007, no RR-6161
http://hal.inria.fr/inria-00142987.
[96]
A. Wohrer, P. Kornprobst, T. Viéville.
Virtual Retina: a biological retina model and simulator, with contrast gain control, Research Report, INRIA, jul 2007, no 6243
https://hal.inria.fr/inria-00160716.
[97]
A. Wohrer.
Mathematical study of a neural gain control mechanism, Research report, INRIA, 2007, no 6327.

References in notes

[98]
E. Adelson, J. Bergen.
Spatiotemporal energy models for the perception of motion, in: Journal of the Optical Society of America A, 1985, vol. 2, p. 284–299.
[99]
N. Brunel, V. Hakim.
Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates, in: Neural Computation, 1999, vol. 11, p. 1621–1671.
[100]
B. Cessac, T. Viéville.
Are neuronal networks that vicious ? Or only their models ?, in: Neural computation, submitted, 2007.
[101]
B. Ermentrout.
Neural networks as spatio-temporal pattern-forming systems, in: Reports on Progress in Physics, 1998, vol. 61, p. 353–430.
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