Laurent U. Perrinet

发表

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.

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

Emmanuel Daucé, Laurent U. Perrinet, Pierre Albiges, 2020, Journal of Vision.

Biologically Inspired Dynamic Textures for Probing Motion Perception

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

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).

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.

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

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

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures

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

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

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

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.

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

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

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.

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

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

Pursuing motion illusions: A realistic oculomotor framework for Bayesian inference

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

From biological vision to unsupervised hierarchical sparse coding pdf

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

Active inference, eye movements and oculomotor delays

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

Role of Homeostasis in Learning Sparse Representations

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

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

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

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

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

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..

Motion-Based Prediction Is Sufficient to Solve the Aperture Problem

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

Self-Invertible 2D Log-Gabor Wavelets

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

PyNN: A Common Interface for Neuronal Network Simulators

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

Biologically-inspired characterization of sparseness in natural images

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

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).

Advances in Texture Analysis for Emphysema Classification

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

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).

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.