Laurent Perrinet
Laurent Perrinet
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Working Memory in Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
The code and results at the time of the submission of this camera-ready paper is accessible in this commit see a related presentation: …
Laurent U Perrinet
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Thomas Kronland-Martinet
Ultra-fast processing of sensor inputs acquired by an event camera The mission aims to develop a spiking neural network (SNN) capable …
Thomas Kronland-Martinet
2026-07-01
Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network
Recently, there has been an increase in interest in exploring the hypothesis that neural activity conveys information through precise …
Laurent U Perrinet
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Adrien Fois
“Accurate detection of precise spiking motifs in neurobiological data” (09/2023 - 03/2025) Why do neurons communicate …
Adrien Fois
2024-04-05
Self-Supervised Learning of Spiking Motifs in Neurobiological Data
Timing is essential for neural processing, but evidence for such temporal precision is still lacking. We have developed a theoretical …
Adrien Fois
,
Laurent U Perrinet
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Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network
Recently, interest has grown in exploring the hypothesis that neural activity conveys information through precise spiking motifs. To …
Laurent U Perrinet
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arXiv
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 extensive Supplementary Material join the Zotero group to …
Antoine Grimaldi
,
Laurent U Perrinet
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Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to …
Hugo Ladret
,
Nelson Cortes
,
Lamyae Ikan
,
Frédéric Chavane
,
Christian Casanova
,
Laurent U Perrinet
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bioRxiv
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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
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arXiv
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
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