Geoffrey Portelli, PhD

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Franck RuffierDirecteur de Recherche CNRS - Senior Research Scientist, ISM, Aix-Marseille Univ.Verified email at univ-amu.fr
Nicolas FRANCESCHINIDirecteur de Recherche CNRS (emeritus) Aix-Marseille UniversityVerified email at univ-amu.fr
Pierre KornprobstResearcher, INRIA, FranceVerified email at inria.fr
Julien SerresSenior Lecturer / Maître de Conférence, Biorobotics Lab, Aix Marseille UniversityVerified email at univ-amu.fr
Timothée MasquelierCNRS Researcher (CR1), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at cnrs.fr
Martin GiurfaCRCA (UMR 5169); CNRS - University Paul Sabatier of Toulouse, CBI, TMBIVerified email at univ-tlse3.fr
Evelyne SernagorProfessor of Retinal Neuroscience, Newcastle UniversityVerified email at ncl.ac.uk
John Martin BarrettPostdoctoral Fellow, Northwestern UniversityVerified email at northwestern.edu
Adrian DYERRMIT University/Monash UniversityVerified email at rmit.edu.au
Aurore Avarguès-WeberCNRS Researcher (CR2), CRCA (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at univ-tlse3.fr
Dr Gerrit HilgenSenior Lecturer, Health & Life Sciences, Northumbria University, UKVerified email at northumbria.ac.uk
bruno cessacINRIAVerified email at inria.fr
Hassan C. NasserPhD in Data ScienceVerified email at liu.edu.lb
Thierry ViévilleInriaVerified email at sophia.inria.fr
Daniela PamplonaENSTA-PARISVerified email at ensta.fr
Frédéric ROUBIEUPhD in bio-inspired roboticsVerified email at univ-amu.fr
Stefano Di MarcoPostdoc Researcher, Istituto Italiano di TecnologiaVerified email at iit.it
Emmanuel PerisseUniversity of Montpellier - Institute for Functional GenomicsVerified email at igf.cnrs.fr
Eric Le BourgCNRS Researcher, Univ. Paul-Sabatier (UT3, Toulouse, France)Verified email at univ-tlse3.fr
Marc AntoniniCNRS and University of Nice-Sophia AntipolisVerified email at i3s.unice.fr

Geoffrey Portelli, PhD

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neuroscience vision learning plasticity machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Configural processing enables discrimination and categorization of face-like stimuli in honeybees A Avarguès-Weber, G Portelli, J Benard, A Dyer, M Giurfa Journal of Experimental Biology 213 (4), 593-601, 2010	106	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	56	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	50	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	30	2016
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	30	2010
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	24*	2017
Microsaccades enable efficient synchrony-based coding in the retina: a simulation study T Masquelier, G Portelli, P Kornprobst Scientific reports 6 (1), 1-12, 2016	18	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	18	2008
Altitude control in honeybees: joint vision-based learning and guidance G Portelli, JR Serres, F Ruffier Scientific reports 7 (1), 1-10, 2017	10	2017
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 (11), 1139-1149, 2007	8	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
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	3	2014
Microsaccades enable efficient synchrony-based visual feature learning and detection T Masquelier, G Portelli, P Kornprobst BMC neuroscience 15 (1), 1-2, 2014	2	2014
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	1	2019
Evidence for ventral optic flow regulation in honeybees G Portelli, F Ruffier, N Franceschini Cinquième conférence plénière française de Neurosciences Computationnelles …, 2010	1	2010
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
Berdondini L, Kornprobst P, Sernagor E. Rank Order Coding: a Retinal G Portelli, JM Barrett, G Hilgen, T Masquelier, A Maccione, S DiMarco		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), 1-1, 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

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