| Classification of fusiform neocortical interneurons based on unsupervised clustering B Cauli, JT Porter, K Tsuzuki, B Lambolez, J Rossier, B Quenet, E Audinat Proceedings of the National Academy of Sciences 97 (11), 6144-6149, 2000 | 349 | 2000 |
| Kin recognition in honeybees. G Arnold, B Quenet, JM Cornuet, C Masson, B Schepper, A Estoup, ... | 137 | 1996 |
| A machine learning approach to the analysis of time–frequency maps, and its application to neural dynamics FB Vialatte, C Martin, R Dubois, J Haddad, B Quenet, R Gervais, ... Neural networks 20 (2), 194-209, 2007 | 67 | 2007 |
| Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators R Dubois, P Maison-Blanche, B Quenet, G Dreyfus Computer methods and programs in biomedicine 88 (3), 217-233, 2007 | 53 | 2007 |
| Influence of social environment on genetically based subfamily signature in the honeybee G Arnold, B Quenet, C Masson Journal of Chemical Ecology 26, 2321-2333, 2000 | 45 | 2000 |
| Intra‐Colonial Variability in the Dance Communication in Honeybees (Apis mellifera) G Arnold, B Quenet, C Papin, C Masson, WH Kirchner Ethology 108 (9), 751-761, 2002 | 29 | 2002 |
| The dynamic neural filter: a binary model of spatiotemporal coding B Quenet, D Horn Neural Computation 15 (2), 309-329, 2003 | 28 | 2003 |
| Building meaningful representations for nonlinear modeling of 1d-and 2d-signals: applications to biomedical signals R Dubois, B Quenet, Y Faisandier, G Dreyfus Neurocomputing 69 (16-18), 2180-2192, 2006 | 16 | 2006 |
| Analysis of spatiotemporal patterns in a model of olfaction O Kliper, D Horn, B Quenet, G Dror Neurocomputing 58, 1027-1032, 2004 | 14 | 2004 |
| A morphometric classification of pupal honeybee antennal lobe neurones in culture JM Devaud, B Quenet, J Gascuel, C Masson Neuroreport 6 (1), 214-218, 1994 | 14 | 1994 |
| Statistical analysis and parsimonious modelling of dendrograms of in vitro neurones JM Devaud, B Quenet, J Gascuel, C Masson Bulletin of Mathematical Biology 62 (4), 657-683, 2000 | 13 | 2000 |
| New insights into sucking, swallowing and breathing central generators: a complexity analysis of rhythmic motor behaviors N Samson, JP Praud, B Quenet, T Similowski, C Straus Neuroscience Letters 638, 90-95, 2017 | 12 | 2017 |
| Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system G Horcholle-Bossavit, B Quenet, O Foucart Biosystems 89 (1-3), 244-256, 2007 | 11 | 2007 |
| Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis F Vialatte, C Martin, N Ravel, B Quenet, G Dreyfus, R Gervais Acta Neurobiologiae Experimentalis 63 (5), 2003 | 10 | 2003 |
| Temporal coding in an olfactory oscillatory model B Quenet, D Horn, G Dreyfus, R Dubois Neurocomputing 38, 831-836, 2001 | 10 | 2001 |
| Formal modeling with multistate neurones and multidimensional synapses B Quenet, G Horcholle-Bossavit, A Wohrer, G Dreyfus Biosystems 79 (1-3), 21-32, 2005 | 9 | 2005 |
| New insights in gill/buccal rhythm spiking activity and CO2 sensitivity in pre-and postmetamorphic tadpoles (Pelophylax ridibundus) B Quenet, C Straus, MN Fiamma, I Rivals, T Similowski, ... Respiratory Physiology & Neurobiology 191, 26-37, 2014 | 8 | 2014 |
| Neural model of frog ventilatory rhythmogenesis G Horcholle-Bossavit, B Quenet Biosystems 97 (1), 35-43, 2009 | 8 | 2009 |
| Modelling spatiotemporal olfactory data in two steps: from binary to Hodgkin–Huxley neurones B Quenet, R Dubois, S Sirapian, G Dreyfus, D Horn Biosystems 67 (1-3), 203-211, 2002 | 8 | 2002 |
| Dynamic proximity of spatio-temporal sequences D Horn, G Dror, B Quenet IEEE Transactions on Neural Networks 15 (5), 1002-1008, 2004 | 6 | 2004 |
