Laurent U. Perrinet

Orcid: 0000-0002-9536-010X

According to our database1, Laurent U. Perrinet authored at least 48 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Kernel heterogeneity improves sparseness of natural images representations.
Neuromorph. Comput. Eng., 2024

Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting.
CoRR, 2024

Retinotopic Mapping Enhances the Robustness of Convolutional Neural Networks.
CoRR, 2024

2023
Stakes of neuromorphic foveation: a promising future for embedded event cameras.
Biol. Cybern., October, 2023

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection.
Biol. Cybern., October, 2023

Beyond ℓ1 sparse coding in V1.
PLoS Comput. Biol., 2023

Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accurate Detection of Spiking Motifs in Multi-unit Raster Plots.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Retinotopy Improves the Categorisation and Localisation of Visual Objects in CNNs.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Pooling strategies in V1 can account for the functional and structural diversity across species.
PLoS Comput. Biol., 2022

Ultra-fast image categorization in vivo and in silico.
CoRR, 2022

What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning hetero-synaptic delays for motion detection in a single layer of spiking neurons.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Sparse deep predictive coding captures contour integration capabilities of the early visual system.
PLoS Comput. Biol., 2021

A homeostatic gain control mechanism to improve event-driven object recognition.
Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021

2020
Humans adapt their anticipatory eye movements to the volatility of visual motion properties.
PLoS Comput. Biol., 2020

Effect of Top-Down Connections in Hierarchical Sparse Coding.
Neural Comput., 2020

Visual Search as Active Inference.
Proceedings of the Active Inference - First International Workshop, 2020

2019
Meaningful representations emerge from Sparse Deep Predictive Coding.
CoRR, 2019

2018
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.
Neural Comput., 2018

From biological vision to unsupervised hierarchical sparse coding.
CoRR, 2018

M<sup>2</sup>APix: A Bio-Inspired Auto-Adaptive Visual Sensor for Robust Ground Height Estimation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
The Flash-Lag Effect as a Motion-Based Predictive Shift.
PLoS Comput. Biol., 2017

Sparse models for Computer Vision.
CoRR, 2017

2016
Biologically-inspired characterization of sparseness in natural images.
Proceedings of the 6th European Workshop on Visual Information Processing, 2016

2015
Biologically Inspired Dynamic Textures for Probing Motion Perception.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sparse coding of natural images using a prior on edge co-occurences.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Active inference, eye movements and oculomotor delays.
Biol. Cybern., 2014

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Anisotropic connectivity implements motion-based prediction in a spiking neural network.
Frontiers Comput. Neurosci., 2013

Advances in Texture Analysis for Emphysema Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Motion-Based Prediction Is Sufficient to Solve the Aperture Problem.
Neural Comput., 2012

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities.
Frontiers Comput. Neurosci., 2012

2010
Role of Homeostasis in Learning Sparse Representations.
Neural Comput., 2010

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.
J. Comput. Neurosci., 2010

A novel bio-inspired static image compression scheme for noisy data transmission over low-bandwidth channels.
Proceedings of the IEEE International Conference on Acoustics, 2010

2008
PyNN: a common interface for neuronal network simulators.
Frontiers Neuroinformatics, 2008

2007
Self-Invertible 2D Log-Gabor Wavelets.
Int. J. Comput. Vis., 2007

Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas.
EURASIP J. Adv. Signal Process., 2007

2005
Efficient Source Detection Using Integrate-and-Fire Neurons.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Coding static natural images using spiking event times: do neurons Cooperate?
IEEE Trans. Neural Networks, 2004

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

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit.
Neurocomputing, 2004

Emergence of filters from natural scenes in a sparse spike coding scheme.
Neurocomputing, 2004

2002
Coherence detection in a spiking neuron via Hebbian learning.
Neurocomputing, 2002

Sparse image coding using an asynchronous spiking neural network.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity.
Neurocomputing, 2001

Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity.
Neurocomputing, 2001


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