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 R. SerresSenior Lecturer / Maître de conférences - HDR, Biorobotics Lab, Aix Marseille UniversityVerified email at univ-amu.fr
Timothée MasquelierCNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at cnrs.fr
Evelyne SernagorProfessor of Retinal Neuroscience, Newcastle UniversityVerified email at ncl.ac.uk
John Martin BarrettResearch Assistant Professor, Northwestern UniversityVerified email at northwestern.edu
Martin GiurfaCRCA (UMR 5169); CNRS - University Paul Sabatier of Toulouse, CBI, TMBIVerified email at univ-tlse3.fr
Aurore Avarguès-WeberCNRS Researcher (CR2), CRCA (CNRS-UT3), TMBI (Univ. Toulouse)Verified email at univ-tlse3.fr
Dr Gerrit HilgenAssistant Professor, Health & Life Sciences, Northumbria University, UKVerified email at northumbria.ac.uk
bruno cessacINRIAVerified email at inria.fr
Hassan-Roland NasserPhD in Computer ScienceVerified email at agroscope.admin.ch
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, Toulouse, France, alternate e-mail: ericlebourglab@gmail.comVerified email at univ-tlse3.fr
Marc AntoniniCNRS and University of Nice-Sophia AntipolisVerified email at i3s.unice.fr
Olivier MarreInstitut de la Vision, INSERM, ParisVerified email at inserm.fr

Geoffrey Portelli, PhD

Thalès Services Numeriques

Verified email at thalesgroup.com

neuroscience vision learning plasticity machine learning


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Configural processing enables discrimination and categorization of face-like stimuli in honeybees A Avargues-Weber, G Portelli, J Benard, A Dyer, M Giurfa Journal of Experimental Biology 213 (4), 593-601, 2010	117	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	67	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	56	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	40	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	34	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	33*	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	22	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	21	2008
Altitude control in honeybees: joint vision-based learning and guidance G Portelli, JR Serres, F Ruffier Scientific reports 7 (1), 1-10, 2017	18	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	7	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	4	2019
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
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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