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Laurent U. Perrinet
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2020 – today
- 2024
- [i9]Jean-Nicolas Jérémie, Emmanuel Daucé
, Laurent U. Perrinet:
Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks. CoRR abs/2402.15480 (2024) - 2023
- [j25]Antoine Grimaldi
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. Biol. Cybern. 117(4): 373-387 (2023) - [j24]Amélie Gruel
Stakes of neuromorphic foveation: a promising future for embedded event cameras. Biol. Cybern. 117(4): 389-406 (2023) - [j23]Ilias Rentzeperis
Beyond ℓ1 sparse coding in V1. PLoS Comput. Biol. 19(9) (2023) - [c14]Urbano Miguel Nunes, Laurent Udo Perrinet, Sio-Hoi Ieng:
Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera. ICCV 2023: 23596-23606 - [i8]Hugo J. Ladret, Christian Casanova, Laurent Udo Perrinet:
Kernel Heterogeneity Improves Sparseness of Natural Images Representations. CoRR abs/2312.14685 (2023) - 2022
- [j22]Victor Boutin
Pooling strategies in V1 can account for the functional and structural diversity across species. PLoS Comput. Biol. 18(7) (2022) - [c13]Antoine Grimaldi, Laurent U. Perrinet:
Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons. ICIP 2022: 3591-3595 - [c12]Ghassan Dabane, Laurent U. Perrinet, Emmanuel Daucé
What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. IJCNN 2022: 1-8 - [i7]Jean-Nicolas Jérémie, Laurent U. Perrinet:
Ultra-fast image categorization in vivo and in silico. CoRR abs/2205.03635 (2022) - 2021
- [j21]Victor Boutin
Sparse deep predictive coding captures contour integration capabilities of the early visual system. PLoS Comput. Biol. 17(1) (2021) - [c11]Antoine Grimaldi
A homeostatic gain control mechanism to improve event-driven object recognition. CBMI 2021: 1-6 - 2020
- [j20]Victor Boutin, Angelo Franciosini, Franck Ruffier
Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Comput. 32(11): 2279-2309 (2020) - [j19]Chloé Pasturel, Anna Montagnini
Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Comput. Biol. 16(4) (2020) - [c10]Emmanuel Daucé
Visual Search as Active Inference. IWAI 2020: 165-178 - [i6]Victor Boutin
Effect of top-down connections in Hierarchical Sparse Coding. CoRR abs/2002.00892 (2020)
2010 – 2019
- 2019
- [i5]Victor Boutin
Meaningful representations emerge from Sparse Deep Predictive Coding. CoRR abs/1902.07651 (2019) - 2018
- [j18]Jonathan Vacher
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Comput. 30(12) (2018) - [c9]Julien Dupeyroux
M2APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation. ISCAS 2018: 1-4 - [i4]Victor Boutin
From biological vision to unsupervised hierarchical sparse coding. CoRR abs/1812.01335 (2018) - 2017
- [j17]Mina A. Khoei, Guillaume S. Masson, Laurent U. Perrinet
The Flash-Lag Effect as a Motion-Based Predictive Shift. PLoS Comput. Biol. 13(1) (2017) - [i3]Laurent Perrinet:
Sparse models for Computer Vision. CoRR abs/1701.06859 (2017) - 2016
- [c8]Laurent U. Perrinet
Biologically-inspired characterization of sparseness in natural images. EUVIP 2016: 1-6 - [i2]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures. CoRR abs/1611.01390 (2016) - 2015
- [c7]Laurent U. Perrinet
Sparse coding of natural images using a prior on edge co-occurences. EUSIPCO 2015: 2231-2235 - [c6]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. NIPS 2015: 1918-1926 - [i1]Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré:
Biologically Inspired Dynamic Textures for Probing Motion Perception. CoRR abs/1511.02705 (2015) - 2014
- [j16]Laurent U. Perrinet
Active inference, eye movements and oculomotor delays. Biol. Cybern. 108(6): 777-801 (2014) - [c5]Bernhard A. Kaplan, Mina A. Khoei, Anders Lansner, Laurent U. Perrinet
Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. IJCNN 2014: 3205-3212 - 2013
- [j15]Bernhard A. Kaplan, Anders Lansner
Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers Comput. Neurosci. 7: 112 (2013) - [c4]Rodrigo Nava
Advances in Texture Analysis for Emphysema Classification. CIARP (2) 2013: 214-221 - 2012
- [j14]Nicole Voges
Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers Comput. Neurosci. 6: 41 (2012) - [j13]Laurent U. Perrinet
Motion-Based Prediction Is Sufficient to Solve the Aperture Problem. Neural Comput. 24(10): 2726-2750 (2012) - 2010
- [j12]Jens Kremkow
Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. J. Comput. Neurosci. 28(3): 579-594 (2010) - [j11]Laurent U. Perrinet
Role of Homeostasis in Learning Sparse Representations. Neural Comput. 22(7): 1812-1836 (2010) - [c3]Khaled Masmoudi, Marc Antonini, Pierre Kornprobst
A novel bio-inspired static image compression scheme for noisy data transmission over low-bandwidth channels. ICASSP 2010: 3506-3509
2000 – 2009
- 2008
- [j10]Andrew P. Davison
PyNN: a common interface for neuronal network simulators. Frontiers Neuroinformatics 2: 11 (2008) - 2007
- [j9]Sylvain Fischer, Rafael Redondo, Laurent U. Perrinet
Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Sylvain Fischer, Filip Sroubek
Self-Invertible 2D Log-Gabor Wavelets. Int. J. Comput. Vis. 75(2): 231-246 (2007) - 2005
- [c2]Laurent Perrinet
Efficient Source Detection Using Integrate-and-Fire Neurons. ICANN (1) 2005: 167-172 - 2004
- [j7]Laurent Perrinet
Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. Neurocomputing 57: 125-134 (2004) - [j6]Laurent Perrinet
Emergence of filters from natural scenes in a sparse spike coding scheme. Neurocomputing 58-60: 821-826 (2004) - [j5]Laurent Perrinet
Finding independent components using spikes: A natural result of hebbian learning in a sparse spike coding scheme. Nat. Comput. 3(2): 159-175 (2004) - [j4]Laurent Perrinet
Coding static natural images using spiking event times: do neurons Cooperate? IEEE Trans. Neural Networks 15(5): 1164-1175 (2004) - 2002
- [j3]Laurent Perrinet
Coherence detection in a spiking neuron via Hebbian learning. Neurocomputing 44-46: 133-139 (2002) - [c1]Laurent Perrinet, Manuel Samuelides:
Sparse image coding using an asynchronous spiking neural network. ESANN 2002: 313-318 - 2001
- [j2]Arnaud Delorme, Laurent Perrinet
Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity. Neurocomputing 38-40: 539-545 (2001) - [j1]Laurent Perrinet
Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. Neurocomputing 38-40: 817-822 (2001)
Coauthor Index
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