Laurent Perrinet
Laurent Perrinet
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Aprovis-3-D
Antoine Grimaldi
“Ultra-fast vision using Spiking Neural Networks” (PhD position, 2020-09 / 2024-03) APROVIS3D grant (ANR-19-CHR3-0008-03) …
Antoine Grimaldi
2026-07-07
A Robust Event-Driven Approach to Always-on Object Recognition
We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
PDF
Cite
DOI
Press
HAL
Code
URL
Amélie Gruel
“Design of bio-inspired spiking neural networks (spiking neurons) for event-based stereovision” (PhD position, 2020-09 / …
Amélie Gruel
2023-10-06
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
read the paper online (paywall) or read the reprint as PDF full code with an extensive notebook join the Zotero group to add and …
Antoine Grimaldi
,
Laurent U Perrinet
PDF
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DOI
Notebook
Code
URL
Ultra-Fast Image Categorization in biology and in neural models
Humans are able to robustly categorize images and can, for instance, detect the presence of an animal in a briefly flashed image in as …
Jean-Nicolas Jérémie
,
Laurent U Perrinet
Cite
DOI
Code
arXiv
Learning heterogeneous delays of spiking neurons for motion detection
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Laurent U Perrinet
Cite
URL
Precise spiking motifs in neurobiological and neuromorphic data
Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In …
Antoine Grimaldi
,
Amélie Gruel
,
Camille Besnainou
,
Jean-Nicolas Jérémie
,
Jean Martinet
,
Laurent U Perrinet
Cite
DOI
HAL
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URL
arXiv
Learning heterogeneous delays of spiking neurons for motion detection
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
PDF
Cite
DOI
Venue
URL
Detection of precise spiking motifs using spike-time dependent weight and delay plasticity
The spiking response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code …
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
PDF
Cite
Learning heterogeneous delays of spiking neurons for motion detection
for a follow-up, check out Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Learning heterogeneous delays …
Antoine Grimaldi
,
Laurent U Perrinet
PDF
Cite
URL
A resilient neural code in V1 to process natural images
On a daily basis, the primary visual cortex (V1) detects oriented elements from sensory inputs made of orientation distributions. To …
Hugo Ladret
,
Laurent U Perrinet
PDF
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Venue
Decoding spiking motifs using neurons with heterogeneous delays
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
PDF
Cite
Slides
Venue
Ultra-rapid visual search in natural images using active deep learning
Visual search, that is, the simultaneous localization and detection of a visual target of interest, is a vital task. Applied to the …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
PDF
Cite
Venue
Learning heterogeneous delays of Spiking Neurons for motion detection
for a follow-up, check out Learning heterogeneous delays of spiking neurons for motion detection Antoine Grimaldi, Camille Besnainou, …
Antoine Grimaldi
,
Laurent U Perrinet
Last updated on 2022-05-20
NeuroAI & Machine Learning
PDF
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Retinotopic mapping improves the reliability of image classification
Follows a previous work A dual foveal-peripheral visual processing model implements efficient saccade selection Emmanuel Daucé, Pierre …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
Last updated on 2022-05-20
Biological Neuroscience
,
Computer Vision
,
Visual Neuroscience
PDF
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URL
Contributions of neuroscience to the detection and localization of objects in visual inputs
for visual search see: A dual foveal-peripheral visual processing model implements efficient saccade selection Emmanuel Daucé, Pierre …
Emmanuel Daucé
,
Laurent U Perrinet
Last updated on 2022-06-16
Biological Neuroscience
,
NeuroAI & Machine Learning
,
Visual Neuroscience
Cite
location
Polychrony detection using heterogeneous delays
Follow this future presentations Learning heterogeneous delays of Spiking Neurons for motion detection PDF Cite URL followed-up as a …
Antoine Grimaldi
,
Laurent U Perrinet
2022-05-19
NeuroAI & Machine Learning
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URL
Decoding orientation distributions from noisy observations in V1
This poster is presented in the following paper (published in Nature Comm Biology): Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric …
Hugo Ladret
,
Laurent U Perrinet
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Venue
Ultra-fast categorization of images containing animals in vivo and in computo
see a follow-up in: Jean-Nicolas Jérémie, Laurent U Perrinet (2023). Ultra-Fast Image Categorization in biology and in neural models. …
Jean-Nicolas Jérémie
,
Laurent U Perrinet
PDF
Cite
Venue
From event-based computations to a bio-plausible Spiking Neural Network
We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
PDF
Cite
Video
Venue
A homeostatic gain control mechanism to improve event-driven object recognition
We propose a neuromimetic architecture able to perform pattern recognition. To achieve this, we extended the existing event-based …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
PDF
Cite
DOI
Video
URL
HAL
A robust bio-inspired approach to event-driven object recognition
We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
PDF
Cite
PDF
URL
Visual search as active inference
a follow-up of: Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements …
Emmanuel Daucé
,
Laurent U Perrinet
PDF
Cite
DOI
Slides
PDF
Code
URL
Understanding natural vision using deep predictive coding
Building models which efficiently process images is a great source of inspiration to better understand the processes which underly our …
Laurent U Perrinet
2020-09-25
Biological Neuroscience
,
Computational Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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Slides
Code
URL
Visual search as active inference
Visual search is an essential cognitive ability, offering a prototypical control problem to be addressed with Active Inference. Under a …
Emmanuel Daucé
,
Laurent U Perrinet
2020-09-14
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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DOI
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URL
A dual foveal-peripheral visual processing model implements efficient saccade selection
In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …
Emmanuel Daucé
,
Pierre Albigès
,
Laurent U Perrinet
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DOI
PDF
Code
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bioRxiv
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