Publications

Antoine Grimaldi, Matthieu Gilson, Laurent U Perrinet, Andrea Alamia, Boris Sotomayor-Gomez, Martin Vinck (2025). Robust Unsupervised Learning of Spike Patterns with Optimal Transport Theory. Computational and Systems Neuroscience (Cosyne) 2025.

Skye Gunasekaran, Assel Kembay, Hugo Ladret, Rui-Jie Zhu, Laurent Perrinet, Omid Kavehei, Jason Eshraghian (2024). Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting.

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet (2024). A Robust Event-Driven Approach to Always-on Object Recognition. Neural Networks.

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Nikos Gekas, Andrew Isaac Meso, Jonathan Vacher, Laurent Uand Mamassian, Pascal Perrinet, Guillaume S Masson (2024). An open-source vision-science tool for the auto-regressive generation of dynamic stochastic textures Motion Clouds. European Conference on Visual Perception 2024.

Laurent U Perrinet, Hugo Ladret (2024). Le mystère de la Joconde éclairé par les neurosciences. Cerveau et Psycho.

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Hugo Ladret, Christian Casanova, Laurent U Perrinet (2024). Kernel Heterogeneity Improves Sparseness of Natural Images Representations. Neuromorphic Computing and Engineering.

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Adrien Fois, Laurent U Perrinet (2024). Self-Supervised Learning of Spiking Motifs in Neurobiological Data. Proceedings of the FENS Forum 2024.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2024). Retinotopy in CNN's implements Efficient Visual Search. Proceedings of the FENS Forum 2024.

Nelson Cortes, Lamyae Ikan, Hugo Ladret, Laurent U Perrinet, Christian Casanova (2024). Diverse Neuronal Responses to Visual Precision in Cat Cortical Area 21a: Unraveling the Complexity of Orientation Processing. Proceedings of the FENS Forum 2024.

Laurent U Perrinet (2024). Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network. Proceedings of the FENS Forum 2024.

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Antoine Grimaldi (2024). Vision dynamique utilisant la précision temporelle des motifs d'impulsions dans les calculs neuronaux.

Laurent U Perrinet (2024). Chats, mouches, humains : comment la vision a évolué en de multiples facettes. The Conversation.

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Hugo Ladret (2024). Modélisation multi-échelle de la sélectivité à l'orientation dans les stimulations visuelles naturelles.

Alexandre Lainé (2024). Analyse Des Données Neurobiologiques Guidée Par La Modélisation.

Urbano Miguel Nunes, Laurent U Perrinet, Sio-Hoi Ieng (2023). Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera. International Conference on Computer Vision 2023 (ICCV2023).

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Amélie Gruel (2023). Réseaux de Neurones Impulsionnels Pour La Vision Embarquée Basée Sur Les Événements.

Laurent U Perrinet (2023). Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network. ICANN Special Session on Recent Advances in Spiking Neural Networks.

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Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Retinotopy improves the categorisation and localisation of visual objects in CNNs. 32nd International Conference on Artificial Neural Networks (ICANN 2023).

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Ilias Rentzeperis, Luca Calatroni, Laurent U Perrinet, Dario Prandi (2023). Beyond $\ell_1$ sparse coding in V1. PLOS Computational Biology.

Antoine Grimaldi, Laurent U Perrinet (2023). Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. Biological Cybernetics.

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Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Retinotopy in CNN's implements Efficient Visual Search. Computational Cognitive Neuroscience Society Meeting (CCN) 2024.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Foveated Retinotopy Improves Classification and Localization in CNNs. Submitted.

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Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet (2023). Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Nature Communications Biology.

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Hugo Ladret, Laurent U Perrinet (2023). Convolutional Sparse Coding is improved by heterogeneous uncertainty modeling. ICLR 2023 SNN Workshop.

Jean-Nicolas Jérémie, Laurent U Perrinet (2023). Ultra-Fast Image Categorization in biology and in neural models. Vision.

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet (2023). Resilience to sensory uncertainty in the primary visual cortex. Computational and Systems Neuroscience (Cosyne) 2023.

Antoine Grimaldi, Laurent U Perrinet (2023). Learning heterogeneous delays of spiking neurons for motion detection. GDR Vision, Toulouse, 2023.

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona (2023). Stakes of Neuromorphic Foveation: a promising future for embedded event cameras. Biological Cybernetics.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2023). Retinotopy improves the categorisation and localisation of visual objects in CNNs. In preparation.

Laurent U Perrinet (2023). Formes et perception.

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Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U Perrinet (2022). Precise spiking motifs in neurobiological and neuromorphic data.

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Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Learning heterogeneous delays of spiking neurons for motion detection. Proceedings of ICIP 2022.

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Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Detection of precise spiking motifs using spike-time dependent weight and delay plasticity. Bernstein Conference 2022.

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Laurent U Perrinet (2022). Pooling in a predictive model of V1 explains functional and structural diversity across species. PLoS Computational Biology.

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Antoine Grimaldi, Laurent U Perrinet (2022). Learning heterogeneous delays of spiking neurons for motion detection. Proceedings of the FENS Forum 2022.

Hugo Ladret, Laurent U Perrinet (2022). Recurrent cortical connectivity in the primary visual cortex supports robust encoding of natural sensory inputs. Proceedings of the FENS Forum 2022.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022). Ultra-rapid visual search in natural images using active deep learning. Proceedings of the FENS Forum 2022.

Ilias Rentzeperis, Luca Calatroni, Laurent U Perrinet, Dario Prandi (2022). Which sparsity problem does the brain solve?. Proceedings of AREADNE.

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022). Ultra-rapid visual search in natural images using active deep learning. Proceedings of AREADNE.

Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Decoding spiking motifs using neurons with heterogeneous delays. Proceedings of AREADNE.

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Hugo Ladret, Laurent U Perrinet (2022). A resilient neural code in V1 to process natural images. Proceedings of AREADNE.

Frédéric Chavane, Laurent U Perrinet, James Rankin (2022). Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All. Brain Structure and Function.

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Ghassan Dabane, Laurent U Perrinet, Emmanuel Daucé (2022). What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism. IJCNN 2022 : International Joint Conference on Neural Networks.

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Frédéric v Barthélemy, Jérome Fleuriet, Laurent U Perrinet, Guillaume S Masson (2022). A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning. eNeuro.

Jean-Nicolas Jérémie, Laurent U Perrinet (2021). Ultra-fast categorization of images containing animals in vivo and in computo. Champalimaud Research Symposium (CRS21).

Hugo Ladret, Laurent U Perrinet (2021). Decoding orientation distributions from noisy observations in V1. Champalimaud Research Symposium (CRS21).

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet (2021). From event-based computations to a bio-plausible Spiking Neural Network. Champalimaud Research Symposium (CRS21).

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Angelo Franciosini (2021). SDPC : A Sparse and Predictive Model of the Early Visual System.

Alberto Arturo Vergani, Laurent U Perrinet (2021). Simulating anticipatory activity in a 1D Spiking Neural Network Model. Bernstein Conference 2021.

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman (2021). A homeostatic gain control mechanism to improve event-driven object recognition. Content-Based Multimedia Indexing (CBMI) 2021.

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Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman (2021). A robust bio-inspired approach to event-driven object recognition. Computational and Systems Neuroscience (Cosyne) 2021.

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Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system. PLoS Computational Biology.

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Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet (2021). Modulation of orientation selectivity by orientation precision. Proceedings of the Society for Neuroscience conference.

Laurent U Perrinet (2021). Le jeu du cerveau et du hasard. The Conversation.

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Emmanuel Daucé, Laurent U Perrinet (2020). Visual search as active inference. IWAI 2020.

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Angelo Franciosini, Victor Boutin, Laurent U Perrinet (2020). Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding. Computational and Systems Neuroscience (Cosyne) 2020.

Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection. Journal of Vision.

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Angelo Franciosini, Victor Boutin, Laurent U Perrinet (2020). Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding. SIGMA'2020 (Signal, Image, Geometry, Modelling, Approximation).

Victor Boutin (2020). Etude d’un Algorithme Hiérarchique de Codage Épars et Prédictif : Vers Un Modèle Bio-Inspiré de La Perception Visuelle.

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2020). Effect of top-down connections in Hierarchical Sparse Coding. Neural Computation.

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Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology.

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Laurent U Perrinet (2020). La vision comme processus prédictif: Une approche bio-mimétique.

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Hugo Ladret, Laurent U Perrinet (2020). Learning dynamics in a neural network model of the primary visual cortex. Annals of Eye Science.

Laurent U Perrinet (2020). From the retina to action: Dynamics of predictive processing in the visual system. The Philosophy and Science of Predictive Processing.

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Giacomo Benvenuti, Sandrine Chemla, Arjan Boonman, Laurent U Perrinet, Guillaume S Masson, Frédéric Chavane (2020). Anticipatory Responses along Motion Trajectories in Awake Monkey Area V1. bioRxiv.

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Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet (2019). A dynamic model for decoding direction and orientation in macaque primary visual cortex. Proceedings of NCCD, Capbreton.

Kiana Mansour-Pour (2019). Effet de La Variabilité de La Vitesse Sur Le Mouvement de Poursuite Oculaire Lente et Sur La Perception de La Vitesse.

Sandrine Chemla, Alexandre Reynaud, Matteo DiVolo, Yann Zerlaut, Laurent U Perrinet, Alain Destexhe, Frédéric Chavane (2019). Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1. Journal of Neuroscience.

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Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2019). Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system. SIGMA'2020 (Signal, Image, Geometry, Modelling, Approximation).

Cesar U Ravello, Laurent U Perrinet, Maria-José Escobar, Adrián G Palacios (2019). Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli. Scientific Reports.

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Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2019). Top-down connection in Hierarchical Sparse Coding. GdR Robotics - 2019-06-05.

Laurent U Perrinet (2019). Temps et cerveau : comment notre perception nous fait voyager dans le temps. The Conversation.

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Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2019). Sparse Deep Predictive Coding to model visual object recognition. Proceedings of the Society for Neuroscience conference.

Hugo Ladret, Nelson Cortes, Frédéric Chavane, Laurent U Perrinet, Christian Casanova (2019). Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex. Proceedings of the Society for Neuroscience conference.

Angelo Franciosini, Victor Boutin, Laurent U Perrinet (2019). Modelling Complex Cells of Early Visual Cortex using Predictive Coding. Annual Computational Neuroscience Meeting: CNS2019, Barcelona*.

Laurent U Perrinet (2019). Illusions et hallucinations visuelles : une porte sur la perception. The Conversation.

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Laurent U Perrinet (2019). An adaptive homeostatic algorithm for the unsupervised learning of visual features. Vision.

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Angelo Franciosini, Victor Boutin, Laurent U Perrinet (2019). A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding. NeuroFrance 2019, International Conference from the Société des Neurosciences, Marseille, France.

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré (2018). Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. Neural Computation.

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Jean-Bernard Damasse, Laurent U Perrinet, Laurent Madelain, Anna Montagnini (2018). Reinforcement effects in anticipatory smooth eye movements. Journal of Vision.

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Jean-Bernard Damasse (2018). Smooth Pursuit Eye Movements and Learning : Role of Motion Probability and Reinforcement Contingencies.

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2018). Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision. Doc2AMU Doctoral Day - 2018-11-23.

Kiana Mansour-Pour, Nikos Gekas, Pascal Mamassian, Laurent U Perrinet, Anna Montagnini, Guillaume S Masson (2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, Vol.18, 345, proceedings of VSS.

Hugo Ladret, Laurent U Perrinet (2018). Selectivity to oriented patterns of different precisions. GDR Vision, Paris, 2018.

Angelo Franciosini, Laurent U Perrinet (2018). On the Origins of Hierarchy in Visual Processing. Curves and Surfaces 2018, Arcachon.

Julien Dupeyroux, Victor Boutin, Julien R Serres, Laurent U Perrinet, Stéphane Viollet (2018). M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation. ISCAS2018, IEEE International Symposium on Circuits and Systems.

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2018). From biological vision to unsupervised hierarchical sparse coding. iTwist, 2018.

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Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2018). Estimating and anticipating a dynamic probabilistic bias in visual motion direction.

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Laurent U Perrinet, Chloé Pasturel, Anna Montagnini (2018). Estimating and anticipating a dynamic probabilistic bias in visual motion direction. Grenoble Workshop on Models and Analysis of Eye Movements, Grenoble, France.

Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2018). ANEMO: Quantitative tools for the ANalysis of Eye MOvements. Grenoble Workshop on Models and Analysis of Eye Movements, Grenoble, France.

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Laurent U Perrinet (2018). A low-cost, accessible eye tracking framework. GDR Vision, Paris, 2018.

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2017). The flash-lag effect as a motion-based predictive shift. PLoS Computational Biology.

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Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini (2017). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. GDR Vision, Lille, 2017.

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini (2017). How the dynamics of human smooth pursuit is influenced by speed uncertainty. Proceedings of ECVP.

Laurent U Perrinet, Etienne Rey (2017). Expériences autour de la perception de la forme en art et science. GDR Vision, Lille, 2017.

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Chloé Pasturel, Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet (2017). Estimating and anticipating a dynamic probabilistic bias in visual motion direction. GDR Vision, Lille, 2017.

Victor Boutin, Franck Ruffier, Laurent U Perrinet (2017). Efficient learning of sparse image representations using homeostatic regulation. SPARS2017, Lisbon.

Victor Boutin, Franck Ruffier, Laurent U Perrinet (2017). Efficient learning of sparse image representations using homeostatic regulation. NeuroFrance 2017, International Conference from the Société des Neurosciences, Bordeaux, France.

Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet (2017). Dynamic modulation of volatility by reward contingencies: effects on anticipatory smooth eye movement. Proceedings of Vision Sciences Society Annual Meeting.

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2017). Controlling an aerial robot with human gestures using bio-inspired algorithm. Doc2AMU Doctoral Day - 2017-10-13.

Cesar U Ravello, Maria-José Escobar, Adrián G Palacios, Laurent U Perrinet (2016). Differential response of the retinal neural code with respect to the sparseness of natural images.

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Laurent U Perrinet (2016). Biologically-inspired characterization of sparseness in natural images. 2016 6th European Workshop on Visual Information Processing (EUVIP).

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Jean-Bernard Damasse, Laurent U Perrinet, Jérémie Jozefowiez, Laurent Madelain, Anna Montagnini (2016). Operant reinforcement versus reward expectancy: effects on anticipatory eye movements. Proceedings of VSS.

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U Perrinet (2016). Testing the odds of inherent vs. observed overdispersion in neural spike counts. Journal of Neurophysiology.

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Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini (2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. Proceedings of the Society for Neuroscience conference.

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini (2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. GDR Vision, Toulouse, Nov 3rd, 2016.

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini (2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. Proceedings of ECVP.

Jens Kremkow, Laurent U Perrinet, Cyril Monier, Jose-Manuel Alonso, Ad M Aertsen, Yves Frégnac, Guillaume S Masson (2016). Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits.

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Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet (2016). Modeling the effect of dynamic contingencies on anticipatory eye movements. Proceedings of ECVP.

Anna Montagnini, Jean-Bernard Damasse, Laurent U Perrinet, Guillaume S Masson (2016). Effects of motion predictability on anticipatory and visually-guided eye movements: a common prior for sensory processing and motor control?. Proceedings of ECVP.

Laurent U Perrinet, Rick A Adams, Karl Friston (2016). Compensation of oculomotor delays in the visual system's network. Complex Networks: from theory to interdisciplinary applications.

Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet (2016). A dynamic model for decoding direction and orientation in macaque primary visual cortex. Proceedings of AREADNE.

Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet (2016). A dynamic model for decoding direction and orientation in macaque primary visual cortex. Proceedings of VSS.

Anna Montagnini, Laurent U Perrinet, Guillaume S Masson (2015). Visual motion processing and human tracking behavior. Biologically Inspired Computer Vision.

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Laurent U Perrinet (2015). Sparse Models for Computer Vision. Biologically Inspired Computer Vision.

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Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil (2015). Introduction. Biologically Inspired Computer Vision.

Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil (2015). Biologically Inspired Computer Vision.

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Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini (2015). Anticipatory smooth eye movements and reinforcement. Proceedings of VSS.

Laurent U Perrinet, James A Bednar (2015). Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences. European Signal Processing Conference 2015 (EUSIPCO 2015).

Cesar U Ravello, F. Olivares, R. Herzog, Laurent U Perrinet, Maria-José Escobar, Adrián G Palacios (2015). Spatiotemporal tuning of retinal ganglion cells dependent on the context of signal presentation. European Retina Meeting 2015.

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U Perrinet (2015). On overdispersion in neuronal evoked activity. ICMNS 2015 conference.

Fréderic Danion, Caroline Landelle, Anna Montagnini, Laurent U Perrinet, Laurent Madelain (2015). Eye tracking a self-moved target with complex hand-target dynamics. Proceedings of the Society for Neuroscience conference.

Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports.

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Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré (2015). Biologically Inspired Dynamic Textures for Probing Motion Perception. Advances in Neural Information Processing Systems.

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Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini (2015). Anticipatory smooth eye movements as operant behavior. Proceedings of GDR Vision (Lyon, France).

Anna Montagnini, Jean-Bernard Damasse, Laurent U Perrinet, Laurent Madelain (2015). Anticipating a moving target: role of vision and reinforcement. Proceedings of the Society for Neuroscience conference.

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré (2015). A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception. ICMS 2015 conference.

Laurent U Perrinet, Rick A Adams, Karl Friston (2014). Active inference, eye movements and oculomotor delays. Biological Cybernetics.

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Mina Aliakbari Khoei (2014). Une Approche Computationnelle de La Dépendance Au Mouvement Du Codage de La Position Dans La Système Visuel.

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Guillaume S Masson (2014). The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task. Journal of Vision.

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson (2014). Motion-based prediction model for flash lag effect. Journal of Vision.

Laurent U Perrinet, James A Bednar (2014). Edge co-occurrences are sufficient to categorize natural versus animal images. Journal of Vision.

Andrew Isaac Meso, Claudio Simoncini, Laurent U Perrinet, Guillaume S Masson (2014). Beyond simply faster and slower: exploring paradoxes in speed perception. Journal of Vision.

Bernhard a Kaplan, Mina A Khoei, Anders Lansner, Laurent U Perrinet (2014). Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network. IEEE International Joint Conference on Neural Networks (IJCNN) 2014 Beijing, China.

Laurent U Perrinet (2014). Codage prédictif dans les transformations visuo-motrices.

P Philipp Rudiger, Jean-Luc Stevens, Bharath Chandra Talluri, Laurent U Perrinet, James A Bednar (2014). Relationship between natural image statistics and lateral connectivity in the primary visual cortex. Proceedings of COSYNE.

Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini (2014). On the nature of anticipatory eye movements and the factors affecting them. Proceedings of GDR Vision (Lyon, France).

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré (2014). Dynamic Textures For Probing Motion Perception. IHP workshop.

Wahiba Taouali, Laurent U Perrinet (2014). A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise. 6th Workshop of the Computational Neuroscience Network in Marseille.

Wahiba Taouali, Laurent U Perrinet (2014). A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise. Proceedings of AREADNE.

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris.

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Bernhard a Kaplan, Anders Lansner, Guillaume S Masson, Laurent U Perrinet (2013). Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience.

Mina A Khoei, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet (2013). Motion-based prediction and development of the response to an 'on the way' stimulus. Annual Computational Neuroscience Meeting: CNS2013, Paris*.

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Guillaume S Masson (2013). Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception. VSS Conference Abstract.

Andrew Isaac Meso, Claudio Simoncini, Laurent U Perrinet, Guillaume S Masson (2013). How and why do image frequency properties influence perceived speed?. VSS Conference Abstract.

Rodrigo Nava, J Victor Marcos, Boris Escalante-Ramirez, Gabriel Cristóbal, Laurent U Perrinet, Raúl S J Estépar (2013). Advances in Texture Analysis for Emphysema Classification. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications.

Laurent U Perrinet, Rick A Adams, Karl Friston (2013). Active inference, eye movements and oculomotor delays. The 7th Japanese-French Frontiers of Science Symposium.

Laurent U Perrinet, Rick A Adams, Karl Friston (2013). Active inference, eye movements and oculomotor delays. Annual Computational Neuroscience Meeting: CNS 2013, Paris.

Rick A Adams, Laurent U Perrinet, Karl Friston (2012). Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia. PLoS ONE.

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Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Pascal Mamassian, Guillaume S Masson (2012). Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize. VSS Conference Abstract.

Guillaume S Masson, Laurent U Perrinet (2012). The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience and biobehavioral reviews.

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Paula Sanz Leon, Ivo Vanzetta, Guillaume S Masson, Laurent U Perrinet (2012). Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology.

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Mina A Khoei, Laurent U Perrinet, Guillaume S Masson (2012). Role of motion-based prediction in motion extrapolation. Proceedings of the Society for Neuroscience conference.

Karl Friston, Rick A Adams, Laurent U Perrinet, Michael Breakspear (2012). Perceptions as Hypotheses: Saccades as Experiments. Frontiers in Psychology.

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Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation.

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Guillaume S Masson, Laurent U Perrinet (2012). Motion-based prediction is sufficient to solve the aperture problem. Proceedings of AREADNE.

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson (2012). More is not always better: dissociation between perception and action explained by adaptive gain control. Nature Neuroscience.

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Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson (2012). Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception.. Front. Neurosci. Conference Abstract: Neural Coding, Decision-Making and Integration in Time.

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Guillaume S Masson (2012). Effect of image statistics on fixational eye movements. VSS Conference Abstract.

Nicole Voges, Laurent U Perrinet (2012). Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers in Computational Neuroscience.

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Laurent U Perrinet, Rick A Adams, Karl Friston (2012). Active inference, smooth pursuit and oculomotor delays. Proceedings of AREADNE, Santorini, Greece, 21-24 June 2012, published by The AREADNE Foundation, Inc., Cambridge, Massachusetts, USA, http://areadne.org.

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Pascal Mamassian, Guillaume S Masson (2011). Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize. Journal of Vision.

Laurent U Perrinet (2011). Qui créera le premier ordinateur intelligent?. DocSciences.

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Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson (2011). Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision research.

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Jérôme Fleuriet, Sandrine Hugues, Laurent U Perrinet, Laurent Goffart (2011). Saccadic foveation of a moving visual target in the rhesus monkey. Journal of Neurophysiology.

Mina A Khoei, Laurent U Perrinet, Amarender Bogadhi, Anna Montagnini, Guillaume S Masson (2011). Role of motion inertia in dynamic motion integration for smooth pursuit. Perception.

Laurent U Perrinet, David Fitzpatrick, James A Bednar (2011). Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1. Proceedings of the Society for Neuroscience conference.

Nicole Voges, Laurent U Perrinet (2010). Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology-Paris.

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Laurent U Perrinet (2010). Role of homeostasis in learning sparse representations. Neural Computation.

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Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen (2010). Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience.

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Laurent U Perrinet (2010). Probabilistic models of the low-level visual system: the role of prediction in detecting motion. LADISLAV TAUC and GDR MSPC NEUROSCIENCES CONFERENCE, From Mathematical Image Analysis to Neurogeometry of the Brain.

Nicole Voges, Laurent U Perrinet (2010). Phase space analysis of networks based on biologically realistic parameters. Proceedings of NeuroComp.

Laurent U Perrinet, Guillaume S Masson (2010). Dynamical emergence of a neural solution for motion integration. Proceedings of AREADNE.

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson (2010). Dynamical emergence of a neural solution for motion integration. Proceedings of Tauc.

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson (2010). Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation. Vision Science Society.

Emmanuel Daucé, Laurent U Perrinet (2010). Computational Neuroscience, from Multiple Levels to Multi-level. Journal of Physiology-Paris.

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson (2010). A recurrent Bayesian model of dynamic motion integration for smooth pursuit. Vision Science Society.

Pierre Yger, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Dejan Pecevski, Laurent U Perrinet, Michael Schmuker, Eilif Muller, Andrew P Davison (2009). NeuralEnsemble: Towards a meta-environment for network modeling and data analysis. Eighth Göttingen Meeting of the German Neuroscience Society.

Laurent U Perrinet, Alexandre Reynaud, Frédéric Chavane, Guillaume S Masson (2009). Inferring monkey ocular following responses from V1 population dynamics using a probabilistic model of motion integration. Vision Science Society.

Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen (2009). Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains. Eighth Göttingen Meeting of the German Neuroscience Society.

Nicole Voges, Laurent U Perrinet (2009). Dynamics of cortical networks including long-range patchy connections. Eighth Göttingen Meeting of the German Neuroscience Society.

Nicole Voges, Laurent U Perrinet (2009). Dynamical state spaces of cortical networks representing various horizontal connectivities. Proceedings of COSYNE.

Laurent U Perrinet, Nicole Voges, Jens Kremkow, Guillaume S Masson (2009). Decoding center-surround interactions in population of neurons for the ocular following response. Proceedings of COSYNE.

Jens Oliver Kremkow (2009). Correlating Excitation and Inhibition in Visual Cortical Circuits : Functional Consequences and Biological Feasibility.

Laurent U Perrinet, Emmanuel Daucé (2008). Proceedings of the second french conference on Computational Neuroscience, Marseille. Proceedings of NeuroComp08, Marseille.

Jens Kremkow, Laurent U Perrinet, Ad M Aertsen, Guillaume S Masson (2008). Functional properties of feed-forward inhibition. Proceedings of NeuroComp08, Marseille.

Nicole Voges, Laurent U Perrinet (2008). Analyzing cortical network dynamics with respect to different connectivity assumptions. Proceedings of NeuroComp08, Marseille.

Frédéric v Barthélemy, Laurent U Perrinet, Eric Castet, Guillaume S Masson (2008). Dynamics of distributed 1D and 2D motion representations for short-latency ocular following. Vision research.

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Laurent U Perrinet (2008). What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells. Proceedings of COSYNE.

Andrew P Davison, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent U Perrinet, Pierre Yger (2008). PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics.

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Laurent U Perrinet, Guillaume S Masson (2008). Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework. Proceedings of COSYNE.

Nicole Voges, Jens Kremkow, Laurent U Perrinet (2008). Dynamics of cortical networks based on patchy connectivity patterns. Proceedings of the FENS Forum 2008.

Laurent U Perrinet, Guillaume S Masson (2008). Decoding the population dynamics underlying ocular following response using a probabilistic framework. Proceedings of AREADNE, 2008.

Jens Kremkow, Laurent U Perrinet, Pierre Baudot, Manu Levy, Olivier Marre, Cyril Monier, Yves Frégnac, Guillaume S Masson, Ad M Aertsen (2008). Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study. Proceedings of the Society for Neuroscience conference.

Laurent U Perrinet (2008). Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images. Optical and Digital Image Processing Conference 7000 - Proceedings of SPIE Volume 7000, 7 - 11 April 2008.

Jens Kremkow, Laurent U Perrinet, Arvind Kumar, Ad M Aertsen, Guillaume S Masson (2007). Synchrony in thalamic inputs enhances propagation of activity through cortical layers. Annual Computational Neuroscience Meeting: BMC Neuroscience.

Bruno Cessac, Emmanuel Daucé, Laurent U Perrinet, Manuel Samuelides (2007). Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision. Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision.

Bruno Cessac, Emmanuel Daucé, Laurent U Perrinet, Manuel Samuelides (2007). Introduction to Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision. Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision.

Laurent U Perrinet (2007). Dynamical Neural Networks: modeling low-level vision at short latencies. Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision.

Sylvain Fischer, Filip Šroubek, Laurent U Perrinet, Rafael Redondo, Gabriel Cristóbal (2007). Self-Invertible 2D Log-Gabor Wavelets. International Journal of Computer Vision.

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Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson (2007). Visual tracking of ambiguous moving objects: A recursive Bayesian model. Journal of Vision.

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal (2007). Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas. EURASIP Journal on Advances in Signal Processing.

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Andrew P Davison, Pierre Yger, Jens Kremkow, Laurent U Perrinet, Eilif Muller (2007). PyNN: towards a universal neural simulator API in Python. Sixteenth Annual Computational Neuroscience Meeting: CNS2007, Toronto, Canada. 7–12 July 2007*.

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Laurent U Perrinet (2007). On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex. Sixteenth Annual Computational Neuroscience Meeting: CNS2007, Toronto, Canada. 7–12 July 2007*.

Laurent U Perrinet (2007). Neural Codes for Adaptive Sparse Representations of Natural Images. Mathematical image processing meeting (Marseille, France) September 5, 2007.

Laurent U Perrinet, Guillaume S Masson (2007). Modeling spatial integration in the ocular following response using a probabilistic framework. Journal of Physiology-Paris.

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Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson (2007). Dynamic inference for motion tracking. Perception 36 ECVP Abstract Supplement.

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson (2007). Bayesian modeling of dynamic motion integration. Neuro-Computation: From Sensorimotor Integration to Computational Frameworks.

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Laurent U Perrinet, Frédéric v Barthélemy, Guillaume S Masson (2006). Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework. 1ère conférence francophone NEUROsciences COMPutationnelles - NeuroComp.

Laurent U Perrinet, Jens Kremkow, Frédéric v Barthélemy, Guillaume S Masson, Frédéric Chavane (2006). Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework. Proceedings of the FENS Forum 2006.

Laurent U Perrinet, Jens Kremkow (2006). Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex. The Functional Architecture of the Brain : from Dendrites to Networks. Symposium in honour of Dr Suzanne Tyc-Dumont. 4- 5 May 2006. GLM, Marseille, France.

Laurent U Perrinet, Jens Kremkow (2006). Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex. Physiogenic and pathogenic oscillations: the beauty and the beast, 5th INMED/TINS CONFERENCE SEPTEMBER 9 - 12, 2006, La Ciotat, France.

Adrien Wohrer, Guillaume S Masson, Laurent U Perrinet, Pierre Kornprobst, Thierry Vieville (2006). Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinas. Perception.

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson (2006). Bayesian modeling of dynamic motion integration. 1ère conférence francophone NEUROsciences COMPutationnelles (NeuroComp).

Laurent U Perrinet (2006). An efficiency razor for model selection and adaptation in the primary visual cortex. Fifteenth Annual Computational Neuroscience Meeting: CNS2006*.

Rafael Redondo, Sylvain Fischer, Laurent U Perrinet, Gabriel Cristóbal (2005). Modeling of simple cells through a sparse overcomplete gabor wavelet representation based on local inhibition and facilitation. Perception.

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal (2005). Sparse Gabor wavelets by local operations. Microtechnologies for the New Millennium 2005.

Laurent U Perrinet (2005). Efficient Source Detection Using Integrate-and-Fire Neurons. International Conference on Artificial Neural Networks.

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal (2005). Efficient representation of natural images using local cooperation. Perception.

Laurent U Perrinet, Frédéric v Barthélemy, Eric Castet, Guillaume S Masson (2005). Dynamics of motion representation in short-latency ocular following: A two-pathways Bayesian model. Perception.

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe (2004). Coding static natural images using spiking event times: do neurons cooperate?. IEEE Transactions on Neural Networks.

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Laurent U Perrinet (2004). Feature detection using spikes : the greedy approach. Journal of Physiology-Paris.

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Laurent U Perrinet, Manuel Samuelides, Simon Thorpe (2004). Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. Neurocomputing.

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Laurent U Perrinet (2004). Finding Independent Components using spikes : a natural result of Hebbian learning in a sparse spike coding scheme. Natural Computing.

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe (2003). Emergence of filters from natural scenes in a sparse spike coding scheme. Neurocomputing.

Laurent U Perrinet (2003). Comment déchiffrer le code impulsionnel de la vision ? Étude du flux parallèle, asynchrone et épars dans le traitement visuel ultra-rapide.

Laurent U Perrinet, Manuel Samuelides (2002). Coherence detection in a spiking neuron via Hebbian learning. Neurocomputing.

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Laurent U Perrinet, Manuel Samuelides (2002). Visual Strategies for Sparse Spike Coding. Actes de Neurosciences et Sciences de l’Ingenieur, L’Agelonde,.

Laurent U Perrinet, Manuel Samuelides (2002). Sparse Image Coding Using an Asynchronous Spiking Neural Network. Proceedings of ESANN.

Arnaud Delorme, Laurent U Perrinet, Simon Thorpe, Manuel Samuelides (2001). Network of integrate-and-fire neurons using Rank Order Coding B: spike timing dependant plasticity and emergence of orientation selectivity. Neurocomputing.

Laurent U Perrinet, Arnaud Delorme, Simon Thorpe, Manuel Samuelides (2001). Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity. Neurocomputing.

Laurent U Perrinet, Manuel Samuelides (2000). A generative model for Spike Time Dependent Hebbian Plasticity. Proceedings of DYNN.

Laurent U Perrinet (1999). Apprentissage hebbien d'un reseau de neurones asynchrone a codage par rang.