Publications

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. FENS Forum 2024.

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

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

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

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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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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). Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. 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.

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.

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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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, 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.

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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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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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.

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. FENS Abstract.

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. FENS.

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.