Pierre Kornprobst

Affiliations: 
INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France 
Area:
Computational Neurosciences, Computer Vision
Website:
http://www-sop.inria.fr/members/Pierre.Kornprobst/
Google:
"Pierre Kornprobst"
Cross-listing: Neurotree

Parents

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Gilles Aubert grad student 1995-1998 UNSA
Rachid Deriche grad student 1995-1998 INRIA Sophia Antipolis (Neurotree)

Children

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Neil D B Bruce grad student York University (Neurotree)
María José Escobar grad student 2006-2009 INRIA Sophia Antipolis (Neurotree)
Adrien Wohrer grad student 2006-2009 INRIA Sophia Antipolis (Neurotree)
Émilien Tlapale grad student 2006-2010 INRIA Sophia Antipolis (Neurotree)
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Publications

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Benzi M, Escobar M, Kornprobst P. (2018) A bio-inspired synergistic virtual retina model for tone mapping Computer Vision and Image Understanding. 168: 21-36
Cessac B, Kornprobst P, Kraria S, et al. (2017) PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49
Medathati NVK, Rankin J, Meso AI, et al. (2017) Recurrent network dynamics reconciles visual motion segmentation and integration. Scientific Reports. 7: 11270
Meso AI, Rankin J, Faugeras O, et al. (2016) The relative contribution of noise and adaptation to competition during tri-stable motion perception. Journal of Vision. 16: 6
Masquelier T, Portelli G, Kornprobst P. (2016) Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports. 6: 24086
Drogoul A, Aubert G, Cessac B, et al. (2016) A new nonconvex variational approach for sensory neurons receptive field estimation Journal of Physics: Conference Series. 756: 012006
Pamplona D, Hilgen G, Cessac B, et al. (2015) A super-resolution approach for receptive fields estimation of neuronal ensembles Bmc Neuroscience. 16
Solari F, Chessa M, Medathati NVK, et al. (2015) What can we expect from a V1-MT feedforward architecture for optical flow estimation? Signal Processing: Image Communication
Medathati NVK, Neumann H, Masson GS, et al. (2015) Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision Computer Vision and Image Understanding. 150: 1-30
Rankin J, Meso AI, Masson GS, et al. (2014) Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36: 193-213
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