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K. Xu, Y. Yang, M. Stone, A. Jaumard-Hakoun, C. Leboullenger, G. Dreyfus, P. Roussel, B. Denby,
Robust contour tracking in ultrasound tongue image sequences,
Clinical Linguistics and Phonetics, doi: 10.3109/02699206.2015.1110714 (2016).
N. Houmani, G. Dreyfus, F.B. Vialatte,
Epoch-based Entropy for early Screening of Alzheimer’s Disease,
International journal of neural systems, vol. 25, doi: 10.1142/S012906571550032X, (2015).
J. Solé-Casals, F.B. Vialatte, J. Dauwels
Alternative Techniques of Neural Signal Processing in Neuroengineering
Cognitive Computation vol. 7, p. 1 - 2 (2015).
X. Zhang, F.B. Vialatte, C. Chen, A. Rathi, G. Dreyfus
Embedded Implementation of Second-Order Blind Identification (SOBI) for Real-Time Applications in Neuroscience
Cognitive Computation vol. 7, p. 56 - 63 (2015).
K. Hiyoshi-Taniguchi, M. Kawasaki, Y. Yokota, H. Bakardjian, H. Fukuyama, A. Cichocki, F.B. Vialatte
EEG Correlates of Voice and Face Emotional Judgments in the Human Brain
Cognitive Computation vol. 7, p. 11 - 19 (2015).
Y. Tian, B. Denby, I. Ahriz, P. Roussel, G. Dreyfus,
Robust indoor localization and tracking using GSM fingerprints,
EURASIP Journal on Wireless Communications and Networking, doi: 10.1186/s13638-015-0401-7 (2015).
F. Dioury, A. Duprat, G. Dreyfus, C. Ferroud, J. Cossy
QSPR Prediction of the Stability Constants of Gadolinium(III) Complexes for Magnetic Resonance Imaging
Journal of Chemical Information and Modeling, vol. 54, pp. 2718?2731 (2014).
Y. Tomita, F. Vialatte, G. Dreyfus, Y. Mitsukura, H. Bakardjian, A. Cichocki
Bimodal BCI using simultaneously NIRS and EEG
IEEE Transactions on Biomedical Engineering, vol. 61, pp. 1274 - 1284 (2014).
M. Brack, O. Brack, Y. Ménézo, D. Bonnefont-Rousselot, G. Dreyfus, J. Chapman, A. Kontush
Distinct profiles of systemic biomarkers of oxidative stress in chronic human pathologies: Cardiovascular, psychiatric, neurodegenerative, rheumatic, infectious, neoplasmic and endocrinological diseases
Advances in Bioscience and Biotechnology vol. 4, p. 331-339 (2013).
J. Dauwels, F. Vialatte, A. Cichocki
Quantifying Statistical Interdependence, Part III: N>2 Point Processes
Neural Computation vol. 24, pp. 408 - 454 (2012).

F. Vialatte, J. Dauwels, M. Maurice, T. Musha, A. Cichocki
Improving the specificity of EEG for Diagnosing Alzheimer's disease
International Journal of Alzheimer's Disease, doi: 0.4061/2011/259069 (2011).
J. Dauwels, K. Srinivasan, M. Ramasubba Reddy, T. Musha, F. Vialatte, C. Latchoumane, J. Jeong, A. Cichocki
Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?
International Journal of Alzheimer's Disease, doi: 0.4061/2011/539621 (2011).

P. Milpied, R. Dubois, P. Roussel, C. Henry, G. Dreyfus
Arrhythmia Discrimination in Implantable Cardioverter Defibrillators using Support Vector Machines applied to a New Representation of Electrograms
IEEE Transactions on Biomedical Engineering, vol. 56, pp. 1797 - 1803 (2011)
B. Denby, Y. Oussar, I. Ahriz, G. Dreyfus,
High-Performance Indoor Localization with Full-Band GSM Fingerprints
International Journal of Navigation and Observation, vol. 2010, doi: 10.1155/2010/497829.
M. Toukourou, A. Johannet, G. Dreyfus, P. A. Ayral
Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of "Cévenol flash floods"
Applied Intelligence, published electronically 20. February 2010, doi 10.1007/s10489-010-0210-y.
T. Hueber, E. Benaroya, G. Chollet, B. Denby, G. Dreyfus, M. Stone
Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips
Speech Communication,vol. 52, pp. 288 - 300 (2010).
B. Denby, T. Schultz, K. Honda, T. Hueber, J.M. Gilbert, J.S. Brumberg,
Silent speech interfaces,
Speech Communication, vol. 52, pp. 270 - 287 (2010).
X. Johnson, G. Vandystadt, S. Bujaldon, F.A. Wollman, R. Dubois, P. Roussel, J. Alric, D. Béal
A new setup for in vivo fluorescence imaging of photosynthetic activity
Photosynthesis Research, vol. 102, pp. 85 - 93 (2009).
F. Extramiana, R. Dubois, M. Vaglio, P. Roussel, G. Dreyfus, F. Badilini, A. Leenhardt, P Maison-Blanche
The time course of new T-wave ECG descriptors following single and double dose administration of Sotalol in healthy subjects
Annals of Noninvasive Electrocardiology, vol. 15, pp. 26 - 35 (2010).
G. Horcholle-Bossavit, B. Quenet,
Neural model of frog ventilatory rhythmogenesis,
Biosystems vol. 94, pp. 35-43 (2009).
A. Magon de la Villehuchet, M. Brack, G. Dreyfus, Y. Oussar, D. Bonnefont-Rousselot, M.J. Chapman, A. Kontush
A machine learning approach to the prediction of oxidative stress in chronic inflammatory disease
Redox Reports, vol. 14, pp. 23-33 (2009).
F. Badilini, M. Vaglio, R. Dubois, P. Roussel, N. Sarapa, I. Denjoy, F. Extramiana, P. Maison-Blanche
Automatic analysis of cardiac repolarization morphology using Gaussian mesa function modeling
Journal of Electrocardiology, vol. 41, pp. 588-594 (2008)
S. Gazut, J. M. Martinez, G. Dreyfus, Y. Oussar
Towards The Optimal Design of Numerical Experiments
IEEE Trans. on Neural Networks, vol. 19, pp. 874 - 882 (2008).
C. Faur, A. Cougnaud, G. Dreyfus and P. Le Cloirec
Modelling the breakthrough of activated carbon filters by pesticides in surface waters with static and recurrent neural networks
Chemical Engineering Journal, vol. 145, pp. 7-15 (2008).
Y. Takahashi, M. D. O'Neill, M. Hocini, R. Dubois, S. Matsuo, S. Knecht, S. Mahapatra, K.-T. Lim, P. Jais, A. Jonsson, F. Sacher, P. Sanders, T. Rostock, P. Bordachar, J. Clementy, G. J. Klein, and M. Haissaguerre,
Characterization of Electrograms Associated With Termination of Chronic Atrial Fibrillation by Catheter Ablation
Journal of the American College of Cardiology, vol. 51, pp. 1003-1010 (2008)
F. Extramiana, A. Haggui, P. Maison-Blanche, R. Dubois, S. Takatsuki, P. Beaufils, A. Leenhardt
T-Wave Morphology Parameters Based on PrincipaL Component Analysis Reproducibility and Dependence
on T-Offset Position
Annals of Noninvasive Electrocardiology, vol. 12, pp. 354-363, 2007.
R. Dubois, P. Maison-Blanche, B. Quenet, G. Dreyfus
Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators
Computer Methods and Programs in Biomedicine, vol. 88, pp. 217-233 (2007)
A. Goulon, T. Picot, A. Duprat, and G. Dreyfus
Predicting activities without computing descriptors: graph machines for QSAR
SAR and QSAR in Environmental Resesarch, vol. 18, pp. 141 - 153 (2007)

B. Quenet, G. Horcholle-Bossavit
The locust olfactory system as a case study for modeling dynamics of neurobiological networks: from discrete time neurons to continuous time neurons
Arch. Ital. Biology, vol. 145, pp. 263-275 (2007).
F. Vialatte, C. Martin, R. Dubois, B. Quenet, R. Gervais, and G. Dreyfus,
A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics
Neural Networks, vol. 20, pp. 194 - 209 (2007).
Click here to view the figures in color.

G. Horcholle-Bossavit, B. Quenet, O. Foucart
Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system
Biosystems, vol. 89, pp. 244-254 (2007).
I. Kulagina, S.M. Korogod, C. Batini, G. Horcholle-Bossavit and S.Tyc-Dumont
The electro-dynamics of the dendritic space in a Purkinje cell
Arch. Ital. Biology, vol. 145, pp. 211-233 (2007).
Click here to view supplementary material
P. Sanders, C. J. Nalliah, R. Dubois, Y. Takahashi, M. Hocini, M. Rotter, T. Rostock, F. Sacher, L.-F. Hsu, A. Jonsson, M. D. O'Neill, P. Jais, and M. Haissaguerre,
Frequency Mapping of the Pulmonary Veins in Paroxysmal Versus Permanent Atrial Fibrillation
Journal of Cardiovascular Electrophysiology, vol. 17, pp. 965-972, 2006.
Y. Takahashi, P. Sanders, P. Jais, M. Hocini, R. Dubois, M. Rotter, T. Rostock, C. Nalliah, F. Sacher, J. Clementy, and M. Haissaguerre,
Organisation of Frequency Spectra of Atrial Fibrillation: Relevance to Radiofrequency Catheter Ablation
Journal of Cardiovascular Electrophysiology, vol. 17, pp. 382-388 (2006).
R. Dubois, B. Quenet, Y. Faisandier, G. Dreyfus
Building meaningful representations for nonlinear modeling of 1D- and 2D-signals: applications to biomedical signals
Neurocomputing, vol. 69, pp. 2180 - 2192 (2006)
A. Goulon-Sigwalt-Abram, A. Duprat, G. Dreyfus
From Hopfield nets to recursive networks to graph machines: numerical machine learning for structured data (invited paper)
Theoretical Computer Science, vol. 344, pp. 298-334 (2005).
B. Quenet, G. Horcholle-Bossavit, A. Wohrer, G. Dreyfus
Formal modeling with multistate neurons and multidimensional synapses
Biosystems, vol. 79, pp. 21-32 (2005).
O. Kliper, D. Horn, B. Quenet
The inertial-DNF Model: Spatiotemporal Patterns with Two Time-Scales
Neurocomputing vol. 65-66 pp. 543-548 (2005)
O. Kliper, D. Horn, B. Quenet, G. Dror
Analysis of spatiotemporal patterns in a model of olfaction
Neurocomputing, vol. 58-60, pp. 1027-1032 (2004).
Y. Oussar, G. Monari, G. Dreyfus
Reply to the Comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz.
Neural Computation, vol. 16, pp. 419 - 443 (2004).
D. Horn, G. Dror, B. Quenet
Dynamic proximity of spatio-temporal sequences
IEEE Transactions on Neural Networks, vol. 15, pp. 1002-1008 (2004)
H. Stoppiglia, G. Dreyfus, R. Dubois, Y. Oussar
Ranking a Random Feature for Variable and Feature Selection
Journal of Machine Learning Research, pp. 1399-1414 (2003).
C. Dreyfus, G. Dreyfus
A Machine-learning Approach to the Estimation of the Liquidus Temperature of Glass-forming Oxide Blends
Journal of Non-Crystalline Solids, vol. 318, pp. 63-78 (2003).
D. Horn, B. Quenet, G. Dror, O. Kliper
Modeling neural spatiotemporal behavior
Neurocomputing, vol. 52-54, pp. 799-804 (2003)
B. Quenet, D. Horn,
The Dynamic Neural Filter: a Binary Model of Spatiotemporal Coding
Neural Computation, vol. 15, pp. 309-329 (2003).
B. Quenet, S. Sirapian, R. Dubois, G. Dreyfus, D. Horn
Modeling spatiotemporal olfactory data in two steps: from binary to Hodgkin-Huxley neurons
Biosystems, vol. 67, pp. 203-211 (2002).
G. Monari, G. Dreyfus
Local Overfitting Control via Leverages
Neural Computation, vol. 14, pp. 1481-1506 (2002).

See also : Y. Oussar, G. Monari, G. Dreyfus
Reply to the Comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz.
Neural Computation, vol. 16, pp. 419 - 443 (2004).
R. Lestienne, B. Quenet, S. Bouret, O. Parodi
Functionality of divergence/convergence in a model of the early olfactory system of the insect
Biological Cybernetics, vol. 87, pp. 220-229 (2002).
Y. Oussar, G. Dreyfus
How to be a Gray Box: Dynamic Semi-physical Modeling
Neural Networks, invited paper, vol. 14, pp. 1161-1172 (2001).
B. Quenet, D. Horn, G. Dreyfus, R. Dubois
Temporal Coding in an Olfactory Oscillatory Model
Neurocomputing, vol. 38-40, pp. 831-836 (2001).
G. Monari, G. Dreyfus
Withdrawing an Example from the Training Set : an Analytic Estimation of its Effect on a Non-linear Parameterised Model
Neurocomputing, vol. 35, pp. 195-201 (2000).
J.M. Devaud, B. Quenet, J. Gascuel, C. Masson
Statistical Analysis and Parsimonious Modelling of Dendrograms of In Vitro Neurones
Bulletin of Mathematical Biology, vol. 62, pp. 657-674 (2000).
B. Cauli, J. T. Porter, K. Tsuzuki, B. Lambolez, J. Rossier, B. Quenet, and E. Audinat
Classification of fusiform neocortical interneurons based on unsupervised clustering
Proceedings of the National Academy of Sciences, Biological Sciences : Neurobiology, vol. 97, pp. 6144-6149 (2000).
I. Rivals, L. Personnaz
Nonlinear Internal Model Control Using Neural Networks
IEEE Transactions on Neural Networks, vol. 11, pp.80-90 (2000).
G. Arnold, B. Quenet, C. Masson
Influence of the social environment on the genetically-based subfamily signature in the honeybee
Journal of Chemical Ecology, vol. 26, pp. 2321-2333 (2000).
G. Arnold, B. Quenet, C. Papin, C. Masson, W. H. Kirchner
Intra-Colonial Variability in the Dance Communication in Honeybees
Ethology, vol. 108, pp. 1 -12 (2002).
I. Rivals, L. Personnaz
Construction of confidence intervals for neural networks based on least squares estimation
Neural Networks, vol. 13, pp. 463-484 (2000).
Y. Oussar, G. Dreyfus
Initialization by Selection for Wavelet Network Training
Neurocomputing, vol. 34, pp. 131-143 (2000).
I. Rivals, L. Personnaz
On Cross-Validation for Model Selection
Neural Computation, 11, 863-870 (1998).
Y. Oussar, I. Rivals, L. Personnaz, G. Dreyfus
Training Wavelet Networks for Nonlinear Dynamic Input-Output Modeling
Neurocomputing, 20, 173-188 (1998).
L. Personnaz, G. Dreyfus
Comment on "Discrete-time Recurrent Neural Network Architectures: a Unifying Review"
Neurocomputing, 20, 325-331 (1998) .
L. Personnaz, G. Dreyfus
Comment on "Recurrent Neural Networks: a Constructive Algorithm, and its Properties"
Neurocomputing, 20, 321-324 (1998).
I. Rivals, L. Personnaz
A Recursive Algorithm Based on the Extended Kalman Filter for the Training of Feedforward Neural Models
Neurocomputing, 20, 173-188 (1998).
A. Duprat, T. Huynh, G. Dreyfus
Towards a Principled Methodology for Neural Network Design and Performance Evaluation in QSAR; Application to the Prediction of LogP
J. Chem. Inf. Comp. Sci., 38, 586-594 (1998).
B. Quenet, A. Lutz, G. Dreyfus, V. Cerny, C. Masson
A Dynamic Model of Key Feature Extraction : the Example of Olfaction, I - Biological Backgroundand Overview of the Properties of the Model
Research report (1998).
B. Quenet, V. Cerny, G. Dreyfus, A. Lutz
A Dynamic Model of Key Feature Extraction: the Example of Olfaction: II - Theoretical Analysis by a Boltzmann-type Distribution of Attractors
Research report (1998).
G. Dreyfus, Y. Idan
The Canonical Form of Non-linear Discrete-Time Models
Neural Computation, 10, 133-164 (1998).
H. Gutowitz, C. Domain
The Topological Skeleton of Cellular Automaton Dynamics
Physica D, 103, vol. 1-4, 155-168 (1997).
P. Simon, H. Gutowitz
A cellular automaton model of bi-directionnel traffic
Phys. Rev. E, vol. 57, 2441-2444 (1998).
C. Linster, G. Dreyfus
A model for Pheromone Discrimination in the Insect Antennal Lobe: Investigation of the Role of Neuronal Response Complexity
Chemical Senses 21, 19-27 (1996) .
C. Masson, C. Linster
Towards a cognitive understanding of odor discrimination: combining experimental and theoretical approaches
Behavioural Processes 35, 63-82 (1996).
C. Linster, C. Masson
A neural model of olfactory sensory memory in the honeybee's antennal lobe.
Neural Computation 8, 94-114 (1996).
O. Nerrand, D. Urbani, P. Roussel-Ragot, L. Personnaz, G. Dreyfus
Training Recurrent Neural Networks : Why and How ? An Illustration in Process Modeling
IEEE Transactions on Neural Networks 5, 178-184 (1994) .
C. Linster, M. Kerszberg, and C. Masson,
How neurons may compute: the case of insect sexual pheromone discrimination.
Journal of Computational Neuroscience 1, 231-238 (1994) .
O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, S. Marcos
Neural Networks and Non-linear Adaptive Filtering: Unifying Concepts and New Algorithms
Neural Computation 5, 165-197 (1993) .
C. Linster, C. Masson, M. Kerszberg, L. Personnaz, G. Dreyfus
Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus
Neural Computation 5, 239-252 (1993).
S. Marcos, P. Roussel-Ragot, L. Personnaz, O. Nerrand, G. Dreyfus, C. Vignat
Réseaux de Neurones pour le Filtrage Non-linéaire Adaptatif
Traitement du Signal 8, 409-422 (1993) .
S. Marcos, O. Macchi, C. Vignat, G. Dreyfus, L. Personnaz, and P. Roussel-Ragot
A unified framework for gradient algorithms used for filter adaptation and neural network training.
International Journal of Circuit Theory and Applications 20, 159--200 (1992). Best paper award.
P. Cardaliaguet, G. Euvrard
Approximation of a function and its derivative with a neural network
Neural Networks 5, 207 - 220 (1992)
S. Knerr, L. Personnaz, G. Dreyfus
Handwritten Digit Recognition by Neural Networks with Single-layer Training
IEEE Transactions on Neural Networks 3, 962 (1992) .
A. Johannet, L. Personnaz, G. Dreyfus, J.D. Gascuel, M. Weinfeld
Specification and Implementation of a Digital Hopfield-type Neural Network with On-chip Training
IEEE Transactions on Neural Networks 3, 529 (1992).
P. Roussel-Ragot, G. Dreyfus
A problem-independent parallel implementation of simulated annealing: models and experiments
IEEE Transactions on Computer-Aided Design ofIntegrated Circuits and Systems 9, 827 - 835 (1990).
L. Personnaz, E. Bienenstock, G. Dreyfus
A cursory introduction to the physicists' neural networks
Journal de Physique 50, C3, 207 - 208 (1989)
P. Chaisemartin, G. Dreyfus, M. Fontet, E. Kouka, P. Loubieres, P. Siarry
Placement and channel routing by simulated annealing: some recent developments
Computer Systems Science and Engineering 4, 35 - 48 (1989)
I. Guyon, L. Personnaz, J.P. Nadal, G. Dreyfus
Storage and retrieval of complex sequences in neural networks
Physical Review A 38, 6365-6372 (1988).
L. Personnaz, I. Guyon, G. Dreyfus, G. Toulouse
A biologically constrained learning mechanism in networks of formal neurons
Journal of Statistical Physics 43, 411-422 (1986)
L. Personnaz, I. Guyon, G. Dreyfus
Collective computational properties of neural networks: new learning mechanisms
Physical Review A 34, 4217-4228 (1986)
L. Personnaz, I. Guyon, G. Dreyfus
Information storage and retrieval in spin-glass like neural networks
J. Physique Lett. 46, L-359 - L-365 (1985)

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