Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. - Arnaud Delorme; Laurent Perrinet; Simon J. Thorpe (Neurocomputing, 2001)

Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. - Laurent Perrinet; Arnaud Delorme; Manuel Samuelides; Simon J. Thorpe (Neurocomputing, 2001)

Sparse image coding using an asynchronous spiking neural network. - Laurent Perrinet; Manuel Samuelides (ESANN, 2002)

Coherence detection in a spiking neuron via Hebbian learning. - Laurent Perrinet; Manuel Samuelides (Neurocomputing, 2002)

Emergence of filters from natural scenes in a sparse spike coding scheme. - Laurent Perrinet (Neurocomputing, 2004)

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. - Laurent Perrinet; Manuel Samuelides; Simon J. Thorpe (Neurocomputing, 2004)

Finding independent components using spikes: A natural result of hebbian learning in a sparse spike coding scheme. - Laurent Perrinet (Nat. Comput., 2004)

Coding static natural images using spiking event times: do neurons Cooperate? - Laurent Perrinet; Manuel Samuelides; Simon J. Thorpe (IEEE Trans. Neural Networks, 2004)

Efficient Source Detection Using Integrate-and-Fire Neurons. - Laurent Perrinet (ICANN (1), 2005)

Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas. - Sylvain Fischer; Rafael Redondo; Laurent U. Perrinet; Gabriel Cristóbal (EURASIP J. Adv. Signal Process., 2007)

Self-Invertible 2D Log-Gabor Wavelets. - Sylvain Fischer; Filip Sroubek; Laurent U. Perrinet; Rafael Redondo; Gabriel Cristóbal (Int. J. Comput. Vis., 2007)

PyNN: a common interface for neuronal network simulators. - Andrew P. Davison; Daniel Brüderle; Jochen M. Eppler; Jens Kremkow; Eilif B. Müller; Dejan Pecevski; Laurent U. Perrinet; Pierre Yger (Frontiers Neuroinformatics, 2008)

A novel bio-inspired static image compression scheme for noisy data transmission over low-bandwidth channels. - Khaled Masmoudi; Marc Antonini; Pierre Kornprobst; Laurent Perrinet (ICASSP, 2010)

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. - Jens Kremkow; Laurent U. Perrinet; Guillaume S. Masson; Ad Aertsen (J. Comput. Neurosci., 2010)

Role of Homeostasis in Learning Sparse Representations. - Laurent U. Perrinet (Neural Comput., 2010)

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. - Nicole Voges; Laurent U. Perrinet (Frontiers Comput. Neurosci., 2012)

Motion-Based Prediction Is Sufficient to Solve the Aperture Problem. - Laurent U. Perrinet; Guillaume S. Masson (Neural Comput., 2012)

Advances in Texture Analysis for Emphysema Classification. - Rodrigo Nava; J. Víctor Marcos; Boris Escalante-Ramírez; Gabriel Cristóbal; Laurent U. Perrinet; Raúl San José Estépar (CIARP (2), 2013)

Anisotropic connectivity implements motion-based prediction in a spiking neural network. - Bernhard A. Kaplan; Anders Lansner; Guillaume S. Masson; Laurent U. Perrinet (Frontiers Comput. Neurosci., 2013)

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. - Bernhard A. Kaplan; Mina A. Khoei; Anders Lansner; Laurent U. Perrinet (IJCNN, 2014)

Active inference, eye movements and oculomotor delays. - Laurent U. Perrinet; Rick A. Adams; Karl J. Friston (Biol. Cybern., 2014)

Sparse coding of natural images using a prior on edge co-occurences. - Laurent U. Perrinet; James A. Bednar (EUSIPCO, 2015)

Biologically Inspired Dynamic Textures for Probing Motion Perception. - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (NIPS, 2015)

Biologically-inspired characterization of sparseness in natural images. - Laurent U. Perrinet (EUVIP, 2016)

Sparse models for Computer Vision. - Laurent Perrinet (CoRR, 2017)

The Flash-Lag Effect as a Motion-Based Predictive Shift. - Mina A. Khoei; Guillaume S. Masson; Laurent U. Perrinet (PLoS Comput. Biol., 2017)

M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. - Julien Dupeyroux; Victor Boutin; Julien R. Serres; Laurent U. Perrinet; Stéphane Viollet (ISCAS, 2018)

From biological vision to unsupervised hierarchical sparse coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent U. Perrinet (CoRR, 2018)

Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. - Jonathan Vacher; Andrew Isaac Meso; Laurent U. Perrinet; Gabriel Peyré (Neural Comput., 2018)

Meaningful representations emerge from Sparse Deep Predictive Coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent Perrinet (CoRR, 2019)

Visual Search as Active Inference. - Emmanuel Daucé; Laurent Perrinet (IWAI, 2020)

Effect of Top-Down Connections in Hierarchical Sparse Coding. - Victor Boutin; Angelo Franciosini; Franck Ruffier; Laurent Perrinet (Neural Comput., 2020)

Humans adapt their anticipatory eye movements to the volatility of visual motion properties. - Chloé Pasturel; Anna Montagnini; Laurent U. Perrinet (PLoS Comput. Biol., 2020)

A homeostatic gain control mechanism to improve event-driven object recognition. - Antoine Grimaldi; Victor Boutin; Laurent Perrinet; Sio-Hoi Ieng; Ryad Benosman (CBMI, 2021)

Sparse deep predictive coding captures contour integration capabilities of the early visual system. - Victor Boutin; Angelo Franciosini; Frédéric Chavane; Franck Ruffier; Laurent Perrinet (PLoS Comput. Biol., 2021)

Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons. - Antoine Grimaldi; Laurent U. Perrinet (ICIP, 2022)

What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. - Ghassan Dabane; Laurent U. Perrinet; Emmanuel Daucé (IJCNN, 2022)

Ultra-fast image categorization in vivo and in silico. - Jean-Nicolas Jérémie; Laurent U. Perrinet (CoRR, 2022)

Pooling strategies in V1 can account for the functional and structural diversity across species. - Victor Boutin; Angelo Franciosini; Frédéric Chavane; Laurent U. Perrinet (PLoS Comput. Biol., 2022)

Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs. - Jean-Nicolas Jérémie; Emmanuel Daucé; Laurent U. Perrinet (ICANN (1), 2023)

Accurate Detection of Spiking Motifs in Multi-unit Raster Plots. - Laurent U. Perrinet (ICANN (1), 2023)

Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera. - Urbano Miguel Nunes; Laurent Udo Perrinet; Sio-Hoi Ieng (ICCV, 2023)

Beyond ℓ1 sparse coding in V1. - Ilias Rentzeperis; Luca Calatroni; Laurent U. Perrinet; Dario Prandi (PLoS Comput. Biol., 2023)

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. - Antoine Grimaldi; Laurent U. Perrinet (Biol. Cybern., 2023)

Stakes of neuromorphic foveation: a promising future for embedded event cameras. - Amélie Gruel; Dalia Hareb; Antoine Grimaldi; Jean Martinet; Laurent Perrinet; Bernabé Linares-Barranco; Teresa Serrano-Gotarredona (Biol. Cybern., 2023)

Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. - Jean-Nicolas Jérémie; Emmanuel Daucé; Laurent U. Perrinet (CoRR, 2024)

Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting. - Skye Gunasekaran; Assel Kembay; Hugo J. Ladret; Rui-Jie Zhu 003; Laurent Perrinet; Omid Kavehei; Jason Eshraghian (CoRR, 2024)

Kernel heterogeneity improves sparseness of natural images representations. - Hugo J. Ladret; Christian Casanova; Laurent Udo Perrinet (Neuromorph. Comput. Eng., 2024)