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Geoffrey Portelli, PhD
Geoffrey Portelli, PhD
Thalès Services Numeriques
Adresse e-mail validée de thalesgroup.com
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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
1152010
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
652010
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
542011
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
402016
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
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
332010
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
222016
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
212008
Altitude control in honeybees: joint vision-based learning and guidance
G Portelli, JR Serres, F Ruffier
Scientific reports 7 (1), 1-10, 2017
162017
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
82007
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
72009
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
32019
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
32014
Microsaccades enable efficient synchrony-based visual feature learning and detection
T Masquelier, G Portelli, P Kornprobst
BMC neuroscience 15 (1), 1-2, 2014
22014
Evidence for ventral optic flow regulation in honeybees
G Portelli, F Ruffier, N Franceschini
Cinquième conférence plénière française de Neurosciences Computationnelles …, 2010
12010
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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Articles 1–20