Laurent Udo Perrinet

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Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Anna Montagnini, Chloé Pasture, Laurent Udo Perrinet, 2020, PLoS computational biology.

Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity

Arnaud Delorme, Simon J. Thorpe, Manuel Samuelides, 2001, Neurocomputing.

Testing the odds of inherent vs. observed overdispersion in neural spike counts.

Laurent Udo Perrinet, F. Chavane, P. Wallisch, 2016, Journal of neurophysiology.

Testing the Odds of Inherent versus Observed Over-dispersion in Neural Spike Counts Odds of Inherent versus Observed Over-dispersion

Laurent Udo Perrinet, F. Chavane, P. Wallisch, 2016, 1611.04364.

eview he behavioral receptive field underlying motion integration for primate tracking

Laurent Udo Perrinet, S. Masson, 2011 .

Chapter 12 Visual motion processing and human tracking behavior

Laurent Udo Perrinet, G. Masson, A. Montagnini, 2017 .

An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features

Laurent Udo Perrinet, 2019, Vision.

Modelling Complex Cells of Early Visual Cortex using Predictive Coding

Laurent Perrinet, Laurent Udo Perrinet, Victor Boutin, 2019 .

Finding Independent Components using spikes : a natural result of learning in a sparse spike coding scheme

Laurent Udo Perrinet, 2004 .

Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1

Ad Aertsen, Yves Frégnac, Guillaume S. Masson, 2016, Front. Neural Circuits.

Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1

Laurent Udo Perrinet, F. Chavane, A. Destexhe, 2018 .

Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli

Laurent Udo Perrinet, A. Palacios, M. Escobar, 2019, Scientific Reports.

Reinforcement effects in anticipatory smooth eye movements.

Laurent Udo Perrinet, L. Madelain, A. Montagnini, 2018, Journal of vision.

Active inference, eye movements and oculomotor delays

Karl J. Friston, Laurent Udo Perrinet, Rick A Adams, 2014, Biological Cybernetics.

Dynamical processing of orientation precision in the primary visual cortex

Laurent Udo Perrinet, F. Chavane, C. Casanova, 2022, bioRxiv.

A robust event-driven approach to always-on object recognition

Laurent Udo Perrinet, R. Benosman, Victor Boutin, 2022 .

Sparse deep predictive coding captures contour integration capabilities of the early visual system

Franck Ruffier, Laurent Perrinet, Laurent Udo Perrinet, 2019, PLoS Comput. Biol..

A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning

Laurent Udo Perrinet, G. Masson, F. Barthélemy, 2022, eNeuro.

Pooling strategies in V1 can account for the functional and structural diversity across species

Laurent Udo Perrinet, F. Chavane, Angelo Franciosini, 2022, PLoS Comput. Biol..

NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck

Pierre Yger, Andrew P. Davison, Eilif Muller, 1970 .

Ultra-fast image categorization in vivo and in silico

Laurent Udo Perrinet, Jean-Nicolas J'er'emie, 2022, ArXiv.

Precise Spiking Motifs in Neurobiological and Neuromorphic Data

Laurent Udo Perrinet, Jean Martinet, Antoine Grimaldi, 2022, Brain sciences.

Beyond ℓ1 sparse coding in V1

Laurent Udo Perrinet, D. Prandi, L. Calatroni, 2023, PLoS Comput. Biol..

Pooling in a predictive model of V1 explains functional and structural diversity across species

Laurent Udo Perrinet, F. Chavane, Angelo Franciosini, 2021, bioRxiv.

Effect of Top-Down Connections in Hierarchical Sparse Coding

Franck Ruffier, Laurent Perrinet, Laurent Udo Perrinet, 2020, Neural Computation.

Meaningful representations emerge from Sparse Deep Predictive Coding pdf

Franck Ruffier, Laurent Perrinet, Laurent Udo Perrinet, 2019, ArXiv.

From biological vision to unsupervised hierarchical sparse coding pdf

Laurent U. Perrinet, Franck Ruffier, Laurent Udo Perrinet, 2018, ArXiv.

On the Origins of Hierarchy in Visual Processing

Laurent Udo Perrinet, Angelo Franciosini, 2018 .

Sparse models for Computer Vision pdf

Laurent Perrinet, Laurent Udo Perrinet, 2015, ArXiv.

Differential response of the retinal neural code with respect to the sparseness of natural images

Laurent Perrinet, Laurent Udo Perrinet, Maria-Jose Escobar, 2016 .

Biologically-inspired characterization of sparseness in natural images

Laurent U. Perrinet, Laurent Udo Perrinet, 2016, 2016 6th European Workshop on Visual Information Processing (EUVIP).

Edge co-occurrences can account for rapid categorization of natural versus animal images

James A. Bednar, Laurent U. Perrinet, Laurent Udo Perrinet, 2015, Scientific Reports.

Computational neuroscience, from multiple levels to multi-level

Emmanuel Daucé, Laurent Perrinet, Laurent Udo Perrinet, 2010, Journal of Physiology-Paris.

Role of Homeostasis in Learning Sparse Representations

Laurent U. Perrinet, Laurent Udo Perrinet, 2007, Neural Computation.

Dynamics of distributed 1D and 2D motion representations for short-latency ocular following

Guillaume S. Masson, Laurent U. Perrinet, Eric Castet, 2008, Vision Research.

On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex

Laurent Perrinet, Laurent Udo Perrinet, 2007, BMC Neuroscience.

Sparse Hebbian Learning is efficient with egalitarian homeostasis

Laurent Perrinet, Laurent Udo Perrinet, 2007 .

Dynamical neural networks: Modeling low-level vision at short latencies

Laurent Perrinet, Laurent Udo Perrinet, 2007 .

Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas

Gabriel Cristóbal, Sylvain Fischer, Laurent U. Perrinet, 2007, EURASIP J. Adv. Signal Process..

Efficient Source Detection Using Integrate-and-Fire Neurons

Laurent Perrinet, Laurent Udo Perrinet, 2005, ICANN.

Coding static natural images using spiking event times: do neurons Cooperate?

Simon J. Thorpe, Manuel Samuelides, Laurent Perrinet, 2004, IEEE Transactions on Neural Networks.

Feature detection using spikes: The greedy approach

Laurent Perrinet, Laurent Udo Perrinet, 2004, Journal of Physiology-Paris.

Emergence of filters from natural scenes in a sparse spike coding scheme

Laurent Perrinet, Laurent Udo Perrinet, 2004, Neurocomputing.

Finding independent components using spikes: A natural result of hebbian learning in a sparse spike coding scheme

Laurent Perrinet, Laurent Udo Perrinet, 2004, Natural Computing.

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit

Simon J. Thorpe, Manuel Samuelides, Laurent Perrinet, 2004, Neurocomputing.

Sparse image coding using an asynchronous spiking neural network

Manuel Samuelides, Laurent Perrinet, Laurent Udo Perrinet, 2002, ESANN.

Visual Spike Coding Using a Statistically Optimized Overcomplete Representation

Laurent Udo Perrinet, M. Samuelides, 2002 .

Visual motion processing and human tracking behavior

Laurent Perrinet, Guillaume S Masson, Anna Montagnini, 2015, 1611.07831.

Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity

Arnaud Delorme, Simon J. Thorpe, Laurent Perrinet, 2001, Neurocomputing.

Perceptions as Hypotheses: Saccades as Experiments

Karl J. Friston, Michael Breakspear, Karl Friston, 2012, Front. Psychology.

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet, 2013, Front. Comput. Neurosci..

Active inference, eye movements and oculomotor delays

Karl J. Friston, Rick A. Adams, Laurent U. Perrinet, 2013, BMC Neuroscience.

Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia

Karl J. Friston, Karl Friston, Rick A. Adams, 2012, PloS one.

Revisiting horizontal connectivity rules in V1: from like-to-like towards like-to-all

Laurent Udo Perrinet, F. Chavane, J. Rankin, 2022, Brain Structure and Function.

The behavioral receptive field underlying motion integration for primate tracking eye movements

Guillaume S. Masson, Laurent U. Perrinet, Laurent Udo Perrinet, 2012, Neuroscience & Biobehavioral Reviews.

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Anna Montagnini, Laurent Perrinet, Laurent Udo Perrinet, 2019, bioRxiv.

Anticipatory responses along motion trajectories in awake monkey area V1

Guillaume S Masson, Laurent Perrinet, Laurent Udo Perrinet, 2020, bioRxiv.

Pursuing motion illusions: A realistic oculomotor framework for Bayesian inference

Pascal Mamassian, Guillaume S. Masson, Laurent U. Perrinet, 2011, Vision Research.

Motion-based prediction explains the role of tracking in motion extrapolation

Guillaume S. Masson, Laurent U. Perrinet, Laurent Udo Perrinet, 2013, Journal of Physiology-Paris.

Suppressive Traveling Waves Shape Representations of Illusory Motion in Primary Visual Cortex of Awake Primate

Alain Destexhe, Laurent Perrinet, Alexandre Reynaud, 2019, The Journal of Neuroscience.

Cortical suppressive waves shape the representation of long-range apparent motion

Alain Destexhe, Laurent Perrinet, Laurent Udo Perrinet, 2018, bioRxiv.

The Flash-Lag Effect as a Motion-Based Predictive Shift

Guillaume S. Masson, Laurent U. Perrinet, Laurent Udo Perrinet, 2017, PLoS Comput. Biol..

Motion-Based Prediction Is Sufficient to Solve the Aperture Problem

Guillaume S. Masson, Laurent U. Perrinet, Laurent Udo Perrinet, 2012, Neural Computation.

Motion-based predictive coding is sufficient to solve the aperture problem

Laurent Udo Perrinet, Laurent U Perrinet, Mina A Khoei, 2011, BMC Neuroscience.

A dual foveal-peripheral visual processing model implements efficient saccade selection

Emmanuel Daucé, Pierre Albiges, Laurent Perrinet, 2019, bioRxiv.

Sparse coding of natural images using a prior on edge co-occurences

James A. Bednar, Laurent U. Perrinet, Laurent Udo Perrinet, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Self-Invertible 2D Log-Gabor Wavelets

Gabriel Cristóbal, Filip Sroubek, Sylvain Fischer, 2007, International Journal of Computer Vision.

Sparse Gabor wavelets by local operations

Gabriel Cristobal, Sylvain Fischer, Laurent Perrinet, 2005, SPIE Microtechnologies.

Speed-Selectivity in Retinal Ganglion Cells is Modulated by the Complexity of the Visual Stimulus

Maria-Jose Escobar, Laurent Perrinet, Laurent Udo Perrinet, 2018, bioRxiv.

Advances in Texture Analysis for Emphysema Classification

Raúl San José Estépar, Gabriel Cristóbal, Boris Escalante-Ramírez, 2013, CIARP.

Modeling spatial integration in the ocular following response using a probabilistic framework

Guillaume S. Masson, Laurent U. Perrinet, Laurent Udo Perrinet, 2007, Journal of Physiology-Paris.

PyNN: A Common Interface for Neuronal Network Simulators

Pierre Yger, Andrew P. Davison, Eilif Müller, 2008, Front. Neuroinform..

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

Laurent U. Perrinet, Laurent Udo Perrinet, Nicole Voges, 2012, Front. Comput. Neurosci..

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

Ad Aertsen, Guillaume S. Masson, Laurent U. Perrinet, 2010, Journal of Computational Neuroscience.

Bayesian modeling of dynamic motion integration

Pascal Mamassian, Laurent Perrinet, Guillaume S. Masson, 2007, Journal of Physiology-Paris.

What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism

Emmanuel Daucé, Laurent Perrinet, Laurent Udo Perrinet, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

Ultrafast Image Categorization in Biology and Neural Models

Laurent Udo Perrinet, Jean-Nicolas J'er'emie, 2022, Vision.

Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli

Laurent Udo Perrinet, A. Palacios, M. Escobar, 2019, Scientific Reports.

Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception.

Guillaume S Masson, Paula Sanz Leon, Laurent Udo Perrinet, 2012, Journal of neurophysiology.

Biologically Inspired Dynamic Textures for Probing Motion Perception

Jonathan Vacher, Gabriel Peyré, Laurent U. Perrinet, 2015, NIPS.

More is not always better: adaptive gain control explains dissociation between perception and action

Pascal Mamassian, Anna Montagnini, Laurent Udo Perrinet, 2012, Nature Neuroscience.

Phase space analysis of networks based on biologically realistic parameters

Laurent Perrinet, Laurent Udo Perrinet, Nicole Voges, 2010, Journal of Physiology-Paris.

Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation

Pascal Mamassian, Anna Montagnini, Laurent Perrinet, 2010 .

DYNAMICAL EMERGENCE OF A NEURAL SOLUTION FOR MOTION INTEGRATION

Laurent Udo Perrinet, G. Masson, M. A. Khoei, 2010 .

PyNN: A Common Interface for Neuronal Network Simulators

Andrew P. Davison, Jochen M. Eppler, Laurent Udo Perrinet, 2008, Frontiers in Neuroinformatics.

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network

Anders Lansner, Laurent U. Perrinet, Laurent Udo Perrinet, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Dynamics of non-linear cortico-cortical interactions during motion integration in early visual cortex: a spiking neural network model of an optical imaging study in the awake monkey

Laurent Udo Perrinet, F. Chavane, A. Aertsen, 2009, BMC Neuroscience.

Control of the temporal interplay between excitation and inhibition by the statistics of visual input

Ad Aertsen, Yves Frégnac, Laurent Perrinet, 2009, BMC Neuroscience.

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

Laurent Udo Perrinet, Antoine Grimaldi, 2023, 2307.14077.

Accurate detection of spiking motifs in multi-unit raster plots

Laurent Udo Perrinet, 2023, 2307.11555.

Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons

Laurent Udo Perrinet, Antoine Grimaldi, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Speed uncertainty and motion perception with naturalistic random textures

Laurent Udo Perrinet, P. Mamassian, G. Masson, 2018, Journal of Vision.

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures

Jonathan Vacher, Gabriel Peyré, Laurent U. Perrinet, 2016, Neural Computation.

Coherence detection in a spiking neuron via Hebbian learning

Manuel Samuelides, Laurent Perrinet, Laurent Udo Perrinet, 2002, Neurocomputing.

Cortical recurrence supports resilience to sensory variance in the primary visual cortex

Laurent Udo Perrinet, F. Chavane, C. Casanova, 2023, Communications biology.

From the Retina to Action: Dynamics of Predictive Processing in the Visual System

Laurent Perrinet, Laurent Udo Perrinet, 2020 .

Differential response of the retinal neural code with respect to the sparseness of natural images

Laurent Udo Perrinet, A. Palacios, M. Escobar, 2016, 1611.06834.

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

Laurent Udo Perrinet, A. Aertsen, G. Masson, 2010, Journal of Computational Neuroscience.

Role of Homeostasis in Learning Sparse Representations

Laurent Udo Perrinet, 2007, Neural Computation.

Synchrony in thalamic inputs enhances propagation of activity through cortical layers

Ad Aertsen, Laurent Perrinet, Laurent Udo Perrinet, 2007, BMC Neuroscience.

Neuroinformatics Original Research Article Pynn: a Common Interface for Neuronal Network Simulators

Andrew P. Davison, Jochen M. Eppler, Laurent Udo Perrinet, 2022 .

Reinforcement effects in anticipatory smooth eye movements.

Laurent Udo Perrinet, L. Madelain, A. Montagnini, 2018, Journal of vision.

Visual tracking of ambiguous moving objects: A recursive Bayesian model

Pascal Mamassian, Anna Montagnini, Laurent Perrinet, 2007 .

M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation

Stéphane Viollet, Laurent U. Perrinet, Julien Dupeyroux, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

MAPix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation

Laurent Udo Perrinet, Victor Boutin, Julien Dupeyroux, 2020 .