Laurent Perrinet
Laurent Perrinet
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Neuromorphic Hardware
Al for visual processing and energy-efficient algorithms
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NeuroAI: interactions multiples entre Neurosciences et Intelligence artificielle
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A Robust Event-Driven Approach to Always-on Object Recognition
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
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Robots aériens agiles bio-mimetiques pour le vol en conditions réelles: Enjeux pour l'IA embarqué
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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 U Perrinet
,
Sio-Hoi Ieng
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Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
Antoine Grimaldi
,
Laurent U Perrinet
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Supplementary Material
Stakes of Neuromorphic Foveation: a promising future for embedded event cameras
Amélie Gruel
,
Dalia Hareb
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Antoine Grimaldi
,
Jean Martinet
,
Laurent U Perrinet
,
Bernabé Linares-Barranco
,
Teresa Serrano-Gotarredona
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Preprint
Learning heterogeneous delays of spiking neurons for motion detection
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
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Learning heterogeneous delays of spiking neurons for motion detection
Antoine Grimaldi
,
Laurent U Perrinet
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Decoding spiking motifs using neurons with heterogeneous delays
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
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Learning heterogeneous delays of Spiking Neurons for motion detection
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Contributions of neuroscience to the detection and localization of objects in visual inputs
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Polychrony detection using heterogeneous delays
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From event-based computations to a bio-plausible Spiking Neural Network
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Ryad Benosman
,
Laurent U Perrinet
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A homeostatic gain control mechanism to improve event-driven object recognition
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
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A robust bio-inspired approach to event-driven object recognition
Antoine Grimaldi
,
Victor Boutin
,
Sio-Hoi Ieng
,
Laurent U Perrinet
,
Ryad Benosman
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