<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spiking-Neural-Networks | Laurent Perrinet</title><link>https://laurentperrinet.github.io/tag/spiking-neural-networks/</link><atom:link href="https://laurentperrinet.github.io/tag/spiking-neural-networks/index.xml" rel="self" type="application/rss+xml"/><description>Spiking-Neural-Networks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><copyright>This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License Please note that multiple distribution, publication or commercial usage of copyrighted papers included in this website would require submission of a permission request addressed to the journal in which the paper appeared.</copyright><lastBuildDate>Mon, 14 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://laurentperrinet.github.io/media/icon_hu_f2990a9a83ba401.png</url><title>Spiking-Neural-Networks</title><link>https://laurentperrinet.github.io/tag/spiking-neural-networks/</link></image><item><title>Working Memory in Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays</title><link>https://laurentperrinet.github.io/publication/perrinet-26-icann/</link><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/perrinet-26-icann/</guid><description>&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;The code and results at the time of the submission of this camera-ready paper is accessible &lt;a href="https://github.com/laurentperrinet/MNESIS/tree/7d53c2fd47f253f4c78772e99f5b54c38d57faf9" target="_blank" rel="noopener"&gt;in this commit&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;see a related presentation:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/"&gt;Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays&lt;/a&gt;.
&lt;em&gt;Seminar at CerCo&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/talk/2026-04-16-cerco/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/slides/2026-04-16-cerco/" target="_blank"&gt;
Slides
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;A follow-up paper:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-26/"&gt;Working Memory with Polychronous Chains&lt;/a&gt;.
&lt;em&gt;arXiv preprint arXiv:2604.14096&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-26/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-26" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="http://arxiv.org/abs/2604.14096" target="_blank" rel="noopener"&gt;
Preprint&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays</title><link>https://laurentperrinet.github.io/talk/2026-04-16-cerco/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/talk/2026-04-16-cerco/</guid><description>&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;Invited seminar at CerCo, Toulouse, France, 2026-04-16&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;See the accompanying code: &lt;a href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;https://github.com/laurentperrinet/MNESIS&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;The code and results at the time of the presentation is accessible &lt;a href="https://github.com/laurentperrinet/MNESIS/commit/4532f12f39cafed8b95a61d52c3f8447e5bfb5d8" target="_blank" rel="noopener"&gt;in this commit&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;A follow-up paper:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-26/"&gt;Working Memory with Polychronous Chains&lt;/a&gt;.
&lt;em&gt;arXiv preprint arXiv:2604.14096&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-26/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-26" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="http://arxiv.org/abs/2604.14096" target="_blank" rel="noopener"&gt;
Preprint&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Learning Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Delays</title><link>https://laurentperrinet.github.io/publication/perrinet-26-airov/</link><pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/perrinet-26-airov/</guid><description>&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;See the accompanying code: &lt;a href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;https://github.com/laurentperrinet/MNESIS&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;The code and results at the time of the presentation is accessible &lt;a href="https://github.com/laurentperrinet/MNESIS/commit/2e5448655fb5cd8714ed9b7f1dfa05bc3f13f682" target="_blank" rel="noopener"&gt;in this commit&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;see a follow-up:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/"&gt;Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays&lt;/a&gt;.
&lt;em&gt;Seminar at CerCo&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/talk/2026-04-16-cerco/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/slides/2026-04-16-cerco/" target="_blank"&gt;
Slides
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;A follow-up paper:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-26/"&gt;Working Memory with Polychronous Chains&lt;/a&gt;.
&lt;em&gt;arXiv preprint arXiv:2604.14096&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-26/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-26" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="http://arxiv.org/abs/2604.14096" target="_blank" rel="noopener"&gt;
Preprint&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Working Memory with Polychronous Chains</title><link>https://laurentperrinet.github.io/publication/perrinet-26/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/perrinet-26/</guid><description>&lt;ul&gt;
&lt;li&gt;See the accompanying code: &lt;a href="https://github.com/laurentperrinet/MNESIS" target="_blank" rel="noopener"&gt;https://github.com/laurentperrinet/MNESIS&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;see a related presentation:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/"&gt;Working Memory in Recurrent Spiking Neural Networks Using Heterogeneous Synaptic Delays&lt;/a&gt;.
&lt;em&gt;Seminar at CerCo&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/talk/2026-04-16-cerco/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/slides/2026-04-16-cerco/" target="_blank"&gt;
Slides
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/talk/2026-04-16-cerco/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;This paper is a follow-up of the ICANN conference paper:
&lt;div class="pub-list-item view-citation" style="margin-bottom: 1rem"&gt;
&lt;i class="far fa-file-alt pub-icon" aria-hidden="true"&gt;&lt;/i&gt;
&lt;span class="article-metadata li-cite-author"&gt;
&lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/laurent-u-perrinet/"&gt;Laurent U Perrinet&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2026).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-26-icann/"&gt;Working Memory in Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays&lt;/a&gt;.
&lt;em&gt;35th International Conference on Artificial Neural Networks (ICANN 2026)- Special Session on Recent Advances in Spiking Neural Networks&lt;/em&gt;.
&lt;p&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-26-icann/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.48550/arXiv.2604.14096" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-26-icann" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>