Publications

(2019). Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1. Journal of Neuroscience.

Preprint PDF Project Project DOI

(2019). Top-down feedback in Hierarchical Sparse Coding. submitted.

Project Project

(2019). Meaningful representations emerge from Sparse Deep Predictive Coding. submitted.

Preprint PDF Project Project

(2019). Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli. Scientific Reports.

Preprint PDF Project DOI

(2019). Top-down connection in Hierarchical Sparse Coding. GdR Robotics - 2019-06-05.

Project Project

(2019). Sparse Deep Predictive Coding To Model Visual Object Recognition. submitted to Society for Neuroscience, 2019.

PDF Project Project

(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.

Project

(2019). Modelling Complex Cells of Early Visual Cortex using Predictive Coding. *CNS2019, Barcelona.

PDF Project Project

(2019). Humans adapt their eye movements to the volatility of visual motion properties, and know about it. submitted.

PDF Project

(2019). A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding. NeuroFrance 2019, International Conference from the Société des Neurosciences, Marseille, France.

PDF Project Project

(2019). A dual foveal-peripheral visual processing model implements efficient saccade selection. submitted.

PDF Project DOI

(2018). Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. Neural Computation.

Preprint PDF Project Project DOI

(2018). Reinforcement effects in anticipatory smooth eye movements. Journal of Vision.

Preprint PDF Project Project DOI

(2018). Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision. Doc2AMU Doctoral Day - 2018-11-23.

Project Project

(2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, Vol.18, 345, proceedings of VSS.

PDF DOI

(2018). Selectivity to oriented patterns of different precisions. GDR Vision, Paris, 2018.

PDF Code Project

(2018). On the Origins of Hierarchy in Visual Processing. Curves and Surfaces 2018, Arcachon.

PDF Project Project

(2018). M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation. ISCAS2018, IEEE International Symposium on Circuits and Systems.

Preprint PDF Project

(2018). From biological vision to unsupervised hierarchical sparse coding. iTwist, 2018.

PDF Project Project

(2018). Estimating and anticipating a dynamic probabilistic bias in visual motion direction.

PDF Project

(2018). Estimating and anticipating a dynamic probabilistic bias in visual motion direction. Grenoble Workshop on Models and Analysis of Eye Movements, Grenoble, France.

PDF Project

(2018). ANEMO: Quantitative tools for the ANalysis of Eye MOvements. Grenoble Workshop on Models and Analysis of Eye Movements, Grenoble, France.

PDF Project

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

PDF Project

(2017). Dynamic modulation of volatility by reward contingencies: effects on anticipatory smooth eye movement. Proceedings of Vision Sciences Society Annual Meeting.

PDF Project DOI

(2017). The flash-lag effect as a motion-based predictive shift. PLoS Computational Biology.

Preprint PDF Code Project DOI

(2017). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. GDR Vision, Lille, 2017.

PDF Project

(2017). How the dynamics of human smooth pursuit is influenced by speed uncertainty. Proceedings of ECVP.

PDF Project

(2017). Expériences autour de la perception de la forme en art et science. GDR Vision, Lille, 2017.

PDF Project Project Project Project

(2017). Estimating and anticipating a dynamic probabilistic bias in visual motion direction. GDR Vision, Lille, 2017.

PDF Project

(2017). Efficient learning of sparse image representations using homeostatic regulation. SPARS2017, Lisbon.

Project

(2017). Efficient learning of sparse image representations using homeostatic regulation. NeuroFrance 2017, International Conference from the Société des Neurosciences, Bordeaux, France.

Project

(2017). Controlling an aerial robot with human gestures using bio-inspired algorithm. Doc2AMU Doctoral Day - 2017-10-13.

Project Project

(2016). Differential response of the retinal neural code with respect to the sparseness of natural images.

PDF Project

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

Preprint PDF Code Project DOI

(2016). Operant reinforcement versus reward expectancy: effects on anticipatory eye movements. Proceedings of VSS.

PDF Project DOI

(2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. Proceedings of the Society for Neuroscience conference.

PDF Project

(2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. GDR Vision, Toulouse, Nov 3rd, 2016.

PDF Project

(2016). Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit. Proceedings of ECVP.

PDF Project

(2016). Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits.

Preprint PDF Project DOI

(2016). Modeling the effect of dynamic contingencies on anticipatory eye movements. Proceedings of ECVP.

PDF Project

(2016). Effects of motion predictability on anticipatory and visually-guided eye movements: a common prior for sensory processing and motor control?. Proceedings of ECVP.

PDF Project

(2016). Compensation of oculomotor delays in the visual system's network. Complex Networks: from theory to interdisciplinary applications.

PDF Project

(2016). A dynamic model for decoding direction and orientation in macaque primary visual cortex. Proceedings of AREADNE.

PDF Project Project DOI

(2015). Visual motion processing and human tracking behavior. Biologically Inspired Computer Vision.

Preprint PDF Project DOI

(2015). Sparse Models for Computer Vision. Biologically Inspired Computer Vision.

Preprint PDF Code

(2015). Introduction. Biologically Inspired Computer Vision.

Preprint PDF DOI

(2015). Testing the odds of inherent vs. observed overdispersion in neural spike counts. Journal of Neurophysiology.

Preprint PDF Project Project DOI

(2015). Biologically Inspired Computer Vision.

Preprint PDF Code DOI

(2015). Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences. European Signal Processing Conference 2015 (EUSIPCO 2015).

PDF Project Project DOI

(2015). Spatiotemporal tuning of retinal ganglion cells dependent on the context of signal presentation. European Retina Meeting 2015.

Project

(2015). On overdispersion in neuronal evoked activity. ICMNS 2015 conference.

Project Project

(2015). Eye tracking a self-moved target with complex hand-target dynamics. Proceedings of the Society for Neuroscience conference.

PDF Project

(2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports.

Preprint PDF Code Project DOI

(2015). Biologically Inspired Dynamic Textures for Probing Motion Perception. Advances in Neural Information Processing Systems 28.

Preprint PDF Project

(2015). Anticipatory smooth eye movements as operant behavior. Proceedings of GDR Vision (Lyon, France).

PDF Project

(2015). Anticipatory smooth eye movements and reinforcement. Proceedings of VSS.

PDF Project DOI

(2015). Anticipating a moving target: role of vision and reinforcement. Proceedings of the Society for Neuroscience conference.

PDF Project

(2015). A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception. ICMS 2015 conference.

Project

(2014). Active inference, eye movements and oculomotor delays. Biological Cybernetics.

Preprint PDF DOI

(2014). The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task. Journal of Vision.

PDF Project Project Project DOI

(2014). Motion-based prediction model for flash lag effect. Journal of Vision.

PDF Project DOI

(2014). Edge co-occurrences are sufficient to categorize natural versus animal images. Journal of Vision.

PDF Project DOI

(2014). Beyond simply faster and slower: exploring paradoxes in speed perception. Journal of Vision.

PDF Project Project DOI

(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.

PDF Project Project DOI

(2014). Relationship between natural image statistics and lateral connectivity in the primary visual cortex. Proceedings of COSYNE.

PDF Project

(2014). On the nature of anticipatory eye movements and the factors affecting them. Proceedings of GDR Vision (Lyon, France).

PDF Project

(2014). Dynamic Textures For Probing Motion Perception. IHP workshop.

Project

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

Project Project

(2014). A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise. Proceedings of AREADNE.

Project Project

(2013). Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology-Paris.

PDF Project DOI

(2013). Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience.

PDF Project DOI

(2013). Motion-based prediction and development of the response to an 'on the way' stimulus. CNS 2013, Paris.

PDF Project DOI

(2013). Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception. VSS Conference Abstract.

Project Project Project

(2013). How and why do image frequency properties influence perceived speed?. VSS Conference Abstract.

PDF Project Project DOI

(2013). Advances in Texture Analysis for Emphysema Classification. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications.

PDF DOI

(2013). Active inference, eye movements and oculomotor delays. The 7th Japanese-French Frontiers of Science Symposium.

PDF Project

(2013). Active inference, eye movements and oculomotor delays. CNS 2013, Paris.

PDF Project

(2012). Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia. PLoS ONE.

PDF DOI

(2012). The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience and biobehavioral reviews.

PDF DOI

(2012). Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology.

Preprint PDF Project DOI

(2012). Role of motion-based prediction in motion extrapolation. Proceedings of the Society for Neuroscience conference.

PDF Project

(2012). Perceptions as Hypotheses: Saccades as Experiments. Frontiers in Psychology.

PDF DOI

(2012). Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize. VSS Conference Abstract.

PDF Project Project DOI

(2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation.

PDF

(2012). Motion-based prediction is sufficient to solve the aperture problem. Proceedings of AREADNE.

PDF Project

(2012). More is not always better: dissociation between perception and action explained by adaptive gain control. Nature Neuroscience.

PDF Project Project DOI

(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 & Integration in Time.

PDF Project Project DOI

(2012). Effect of image statistics on fixational eye movements. VSS Conference Abstract.

PDF Project Project DOI

(2012). Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers in Computational Neuroscience.

PDF Project Project Project DOI

(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.

Project

(2011). Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize. Journal of Vision.

PDF DOI

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

PDF Project

(2011). Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision research.

PDF Project DOI

(2011). Saccadic foveation of a moving visual target in the rhesus monkey. Journal of Neurophysiology.

PDF DOI

(2011). Role of motion inertia in dynamic motion integration for smooth pursuit. Perception.

PDF Project Project

(2011). Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1. Proceedings of the Society for Neuroscience conference.

PDF Project Project

(2010). Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology-Paris.

PDF Project DOI

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

Preprint PDF Code DOI

(2010). Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience.

PDF Project DOI

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

PDF

(2010). Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology-Paris.

Project

(2010). Dynamical emergence of a neural solution for motion integration. Proceedings of AREADNE.

Project

(2010). Dynamical emergence of a neural solution for motion integration. Proceedings of Tauc.

PDF Project Project

(2010). Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation. Vision Science Society.

Project

(2010). Computational Neuroscience, from Multiple Levels to Multi-level. Journal of Physiology-Paris.

PDF DOI

(2010). A recurrent Bayesian model of dynamic motion integration for smooth pursuit. Vision Science Society.

PDF Project DOI

(2009). NeuralEnsemble: Towards a meta-environment for network modeling and data analysis. Eighth Göttingen Meeting of the German Neuroscience Society.

Project Project Project

(2009). Inferring monkey ocular following responses from V1 population dynamics using a probabilistic model of motion integration. Vision Science Society.

Project

(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.

Project

(2009). Dynamics of cortical networks including long-range patchy connections. Eighth Göttingen Meeting of the German Neuroscience Society.

Project

(2009). Dynamical state spaces of cortical networks representing various horizontal connectivities. Proceedings of COSYNE, 2009.

Project

(2009). Decoding center-surround interactions in population of neurons for the ocular following response. Proceedings of COSYNE, 2009.

Project

(2008). Proceedings of the second french conference on Computational Neuroscience, Marseille. Proceedings of NeuroComp08, Marseille.

(2008). Functional properties of feed-forward inhibition. Proceedings of NeuroComp08, Marseille.

Project

(2008). Analyzing cortical network dynamics with respect to different connectivity assumptions. Proceedings of NeuroComp08, Marseille.

Project

(2008). Dynamics of distributed 1D and 2D motion representations for short-latency ocular following. Vision research.

PDF Project DOI

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

Project

(2008). PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics.

Preprint PDF Project DOI

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

Project

(2008). Dynamics of cortical networks based on patchy connectivity patterns. FENS Abstract.

Project

(2008). Decoding the population dynamics underlying ocular following response using a probabilistic framework. Proceedings of AREADNE, 2008.

(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.

Project

(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.

PDF Project

(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.

(2007). Introduction. The European Physical Journal Special Topics.

PDF DOI

(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.

PDF DOI

(2007). Bayesian modeling of dynamic motion integration. Neuro-Computation: From Sensorimotor Integration to Computational Frameworks.

PDF DOI

(2007). Self-Invertible 2D Log-Gabor Wavelets. International Journal of Computer Vision.

PDF DOI

(2007). Visual tracking of ambiguous moving objects: A recursive Bayesian model. Journal of Vision.

(2007). Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas. EURASIP Journal on Advances in Signal Processing.

PDF DOI

(2007). PyNN: towards a universal neural simulator API in Python. *Sixteenth Annual Computational Neuroscience Meeting: CNS2007, Toronto, Canada. 7–12 July 2007.

PDF Project DOI

(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.

PDF DOI

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

(2007). Modeling spatial integration in the ocular following response using a probabilistic framework. Journal of Physiology-Paris.

PDF DOI

(2007). Dynamic inference for motion tracking. Perception 36 ECVP Abstract Supplement.

(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.

Project

(2006). Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework. FENS.

(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.

(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.

(2006). Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinas. Perception.

(2006). Bayesian modeling of dynamic motion integration. 1ère conférence francophone NEUROsciences COMPutationnelles (NeuroComp).

PDF DOI

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

PDF

(2005). Modeling of simple cells through a sparse overcomplete gabor wavelet representation based on local inhibition and facilitation. Perception.

(2005). Sparse Gabor wavelets by local operations. Microtechnologies for the New Millennium 2005.

PDF DOI

(2005). Efficient representation of natural images using local cooperation. Perception.

(2005). Efficient Source Detection Using Integrate-and-Fire Neurons.

PDF DOI

(2005). Dynamics of motion representation in short-latency ocular following: A two-pathways Bayesian model. Perception.

(2004). Coding static natural images using spiking event times: do neurons cooperate?. IEEE Transactions on Neural Networks.

Preprint PDF DOI

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

Preprint PDF DOI

(2004). Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. Neurocomputing.

Preprint PDF DOI

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

PDF DOI

(2003). Emergence of filters from natural scenes in a sparse spike coding scheme. Neurocomputing.

PDF DOI

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

(2002). Coherence detection in a spiking neuron via Hebbian learning. Neurocomputing.

PDF DOI

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

(2002). Sparse Image Coding Using an Asynchronous Spiking Neural Network. Proceedings of ESANN.

(2002). Coherence detection in a spiking neuron via hebbian learning. Neurocomputing.

PDF DOI

(2001). Network of integrate-and-fire neurons using Rank Order Coding B: spike timing dependant plasticity and emergence of orientation selectivity. Neurocomputing.

PDF DOI

(2001). Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity. Neurocomputing.

DOI

(2000). A generative model for Spike Time Dependent Hebbian Plasticity. Proceedings of DYNN.

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

(0001). .