Neuromorphic Hardware

Al for visual processing and energy-efficient algorithms

Laurent U Perrinet

2026-02-03

Al for visual processing and energy-efficient algorithms

NeuroAI: interactions multiples entre Neurosciences et Intelligence artificielle

présentation de 15:50:00 à 16:20:00

Laurent U Perrinet

2024-11-18

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

Robots aériens agiles bio-mimetiques pour le vol en conditions réelles: Enjeux pour l'IA embarqué

Laurent U Perrinet

2024-09-09

Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera

Event cameras asynchronously report brightness changes with a temporal resolution in the order of microseconds, which makes them …

Urbano Miguel Nunes, Laurent U 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

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

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full code with extensive Supplementary Material
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this paper is a follow-up of
Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet (2022). Learning heterogeneous delays of spiking neurons for motion detection. Proceedings of ICIP 2022.
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Antoine Grimaldi, Laurent U Perrinet
PDF Cite DOI URL Code Supplementary Material

Stakes of Neuromorphic Foveation: a promising future for embedded event cameras

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

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

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 of spiking neurons for motion detection. Proceedings of ICIP 2022.
PDF Cite DOI Venue URL
Antoine Grimaldi, Laurent U Perrinet
PDF Cite URL

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

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, Hugo Ladret, Laurent U Perrinet
PDF Cite DOI Venue URL

Antoine Grimaldi, Laurent U Perrinet

Last updated on 2022-05-20

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 Albigès, Laurent U Perrinet
Cite DOI Pdf Code URL bioRxiv
for retinotopy, see:
Retinotopic mapping improves the reliability of image classification
PDF Cite URL
for event-based computations, see:
Learning heterogeneous delays of Spiking Neurons for motion detection
PDF Cite URL
for event-based motion detection, see:
Learning heterogeneous delays of spiking neurons for motion detection
Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet
PDF Cite DOI Venue URL

Emmanuel Daucé, Laurent U Perrinet

Last updated on 2022-06-16

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

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

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