Visual-Cortex

Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All

Frédéric Chavane, Laurent U Perrinet, James Rankin

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

Frédéric v Barthélemy, Jérome Fleuriet, Laurent U Perrinet, Guillaume S Masson

Dynamical processing of orientation precision in the primary visual cortex

Dynamical processing of orientation precision in the primary visual cortex

Modulation of orientation selectivity by orientation precision

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet

From the retina to action: Dynamics of predictive processing in the visual system

Laurent U Perrinet

Learning dynamics in a neural network model of the primary visual cortex

Hugo Ladret, Laurent U Perrinet

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

Sandrine Chemla, Alexandre Reynaud, Matteo DiVolo, Yann Zerlaut, Laurent U Perrinet, Alain Destexhe, Frédéric Chavane

An adaptive homeostatic algorithm for the unsupervised learning of visual features

Laurent U Perrinet

Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex

Hugo Ladret, Nelson Cortes, Frédéric Chavane, Laurent U Perrinet, Christian Casanova

Selectivity to oriented patterns of different precisions

Hugo Ladret, Laurent U Perrinet

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

Jens Kremkow, Laurent U Perrinet, Cyril Monier, Jose-Manuel Alonso, Ad M Aertsen, Yves Frégnac, Guillaume S Masson

Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences

Laurent U Perrinet, James A Bednar

Motion-based prediction is sufficient to solve the aperture problem

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

Nicole Voges, Laurent U Perrinet

Probabilistic models of the low-level visual system: the role of prediction in detecting motion

Phase space analysis of networks based on biologically realistic parameters

Nicole Voges, Laurent U Perrinet

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen

Models of low-level vision: linking probabilistic models and neural masses

Dynamical emergence of a neural solution for motion integration

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

Dynamical emergence of a neural solution for motion integration

Laurent U Perrinet, Guillaume S Masson

Phase space analysis of networks based on biologically realistic parameters

Nicole Voges, Laurent U Perrinet

Probabilistic models of the low-level visual system: the role of prediction in detecting motion

Laurent U Perrinet

Decoding center-surround interactions in population of neurons for the ocular following response

Laurent U Perrinet, Nicole Voges, Jens Kremkow, Guillaume S Masson

Dynamical state spaces of cortical networks representing various horizontal connectivities

Nicole Voges, Laurent U Perrinet

Dynamics of cortical networks including long-range patchy connections

Nicole Voges, Laurent U Perrinet

Analyzing cortical network dynamics with respect to different connectivity assumptions

Nicole Voges, Laurent U Perrinet

Decoding the population dynamics underlying ocular following response using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Dynamics of cortical networks based on patchy connectivity patterns

Nicole Voges, Jens Kremkow, Laurent U Perrinet

Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Dynamical Neural Networks: modeling low-level vision at short latencies

Laurent U Perrinet

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

Laurent U Perrinet, Guillaume S Masson

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

Laurent U Perrinet

Sparse Gabor wavelets by local operations

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal

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

Laurent U Perrinet

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

Laurent U Perrinet

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

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Sparse Image Coding Using an Asynchronous Spiking Neural Network

Laurent U Perrinet, Manuel Samuelides

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

Laurent U Perrinet, Arnaud Delorme, Simon Thorpe, Manuel Samuelides