| Configural processing enables discrimination and categorization of face-like stimuli in honeybees A Avargues-Weber, G Portelli, J Bénard, A Dyer, M Giurfa Journal of Experimental Biology 213 (4), 593-601, 2010 | 138 | 2010 |
| Honeybees change their height to restore their optic flow G Portelli, F Ruffier, N Franceschini Journal of Comparative Physiology A 196 (4), 307-313, 2010 | 85 | 2010 |
| Honeybees' speed depends on dorsal as well as lateral, ventral and frontal optic flows G Portelli, F Ruffier, FL Roubieu, N Franceschini PloS one 6 (5), e19486, 2011 | 78 | 2011 |
| Rank order coding: a retinal information decoding strategy revealed by large-scale multielectrode array retinal recordings G Portelli, JM Barrett, G Hilgen, T Masquelier, A Maccione, S Di Marco, ... eneuro 3 (3), 2016 | 51 | 2016 |
| PRANAS: a new platform for retinal analysis and simulation B Cessac, P Kornprobst, S Kraria, H Nasser, D Pamplona, G Portelli, ... Frontiers in Neuroinformatics 11, 49, 2017 | 39* | 2017 |
| Modelling honeybee visual guidance in a 3-D environment G Portelli, J Serres, F Ruffier, N Franceschini Journal of Physiology-Paris 104 (1-2), 27-39, 2010 | 37 | 2010 |
| Altitude control in honeybees: joint vision-based learning and guidance G Portelli, JR Serres, F Ruffier Scientific reports 7 (1), 9231, 2017 | 31 | 2017 |
| Microsaccades enable efficient synchrony-based coding in the retina: a simulation study T Masquelier, G Portelli, P Kornprobst Scientific reports 6 (1), 24086, 2016 | 24 | 2016 |
| A 3D insect-inspired visual autopilot for corridor-following G Portelli, J Serres, F Ruffier, N Franceschini 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2008 | 22 | 2008 |
| Further characterization of an aversive learning task in Drosophila melanogaster: intensity of the stimulus, relearning, and use of rutabaga mutants E Perisse, G Portelli, S Le Goas, E Teste, E Le Bourg Journal of Comparative Physiology A 193, 1139-1149, 2007 | 9 | 2007 |
| Boucles visuo-motrices biomimétiques pour le pilotage automatique de micro-aéronefs F Ruffier, J Serres, G Portelli, N Franceschini 7e Journées Nationales de la Recherche en Robotique (JNRR’09), 55-67, 2009 | 6 | 2009 |
| Image Signal Processor parameter tuning with surrogates-assisted Particles Swarm Optimization G Portelli, D Pallez International Conference on Artificial Evolution (EA-2019) https://ea2019 …, 2019 | 5 | 2019 |
| Microsaccades enable efficient synchrony-based visual feature learning and detection T Masquelier, G Portelli, P Kornprobst BMC Neuroscience 15 (Suppl 1), P121, 2014 | 2 | 2014 |
| The wave of first spikes provides robust spatial cues for retinal information processing G Portelli, J Barrett, E Sernagor, T Masquelier, P Kornprobst INRIA, 2014 | 2 | 2014 |
| Evidence for ventral optic flow regulation in honeybees G Portelli, F Ruffier, N Franceschini Cinquième conférence plénière française de Neurosciences Computationnelles …, 2010 | 1 | 2010 |
| AI-guided identification of risk variants for adrenocortical tumours in TP53 p.R337H carrier children: a genetic association study F Bonald C., D Florent, P Geoffrey, C Tatiana E.J., G Custódio, ... The Lancet Regional Health - Americas 38, 2024 | | 2024 |
| Bio-inspired unsupervised pre-training of convolutional neural networks for image classification G Portelli, M Ducoffe, F Lavigne, F Précioso Brains and Bits: Neuroscience Meets Machine Learning workshop, NIPS2016., 2016 | | 2016 |
| Scalable batch mode Optimal Experimental Design for Deep Networks M Ducoffe, G Portelli, F Precioso 29th Conference on Neural Information Processing Systems, 2016 | | 2016 |
| Rapid neural coding in the mouse retina with the first wave of spikes G Portelli, J Barrett, E Sernagor, T Masquelier, P Kornprobst BMC Neuroscience 15, 1-1, 2014 | | 2014 |
| Decoding the retina with the first wave of spikes G Portelli, JM Barrett, E Sernagor, P Kornprobst European Retina Meeting-2013, 2013 | | 2013 |
Franck RuffierDirecteur de Recherche CNRS - Senior Research Scientist, ISM, Aix-Marseille Univ.univ-amu.fr의 이메일 확인됨
