Polychronies

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: …
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Efficient Working Memory in a recurrent Spiking Neural Network
Working memory — the ability to store and recall precise temporal patterns — remains an open challenge for spiking neural …
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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 …
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 …
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Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network
Adrien Fois
“Accurate detection of precise spiking motifs in neurobiological data” (09/2023 - 03/2025) Why do neurons communicate …
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 …
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Self-Supervised Learning of Spiking Motifs in Neurobiological Data
Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network
Poster Session at https://snufa.net/2023/ https://snufa.net/2023/abstracts/laurent-perrinet-accurate.html code: …
Last updated on 2023-09-10 Computational Neuroscience, NeuroAI & Machine Learning
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Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network
Hybrid Session, Room 2 Chair: Sander Bohté, Sebastian Otte read the proceedings The code is available on GitHub see accompanying …
Last updated on 2023-09-10 Computational Neuroscience, NeuroAI & Machine Learning
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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 …
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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 …
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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 …
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Cortical recurrence supports resilience to sensory variance in the primary visual cortex
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 …
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Precise spiking motifs in neurobiological and neuromorphic data
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 …
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