<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generative-Models | Laurent Perrinet</title><link>https://laurentperrinet.github.io/tag/generative-models/</link><atom:link href="https://laurentperrinet.github.io/tag/generative-models/index.xml" rel="self" type="application/rss+xml"/><description>Generative-Models</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>Wed, 29 Jun 2022 00:00:00 +0000</lastBuildDate><image><url>https://laurentperrinet.github.io/media/icon_hu_f2990a9a83ba401.png</url><title>Generative-Models</title><link>https://laurentperrinet.github.io/tag/generative-models/</link></image><item><title>Which sparsity problem does the brain solve?</title><link>https://laurentperrinet.github.io/publication/rentzeperis-22-areadne/</link><pubDate>Wed, 29 Jun 2022 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/rentzeperis-22-areadne/</guid><description>&lt;ul&gt;
&lt;li&gt;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;
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&lt;a href="https://laurentperrinet.github.io/author/ilias-rentzeperis/"&gt;Ilias Rentzeperis&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/luca-calatroni/"&gt;Luca Calatroni&lt;/a&gt;&lt;/span&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;
&lt;a href="https://laurentperrinet.github.io/author/dario-prandi/"&gt;Dario Prandi&lt;/a&gt;&lt;/span&gt;
&lt;/span&gt;
(2023).
&lt;a href="https://laurentperrinet.github.io/publication/rentzeperis-23/"&gt;Beyond $\ell_1$ sparse coding in V1&lt;/a&gt;.
&lt;em&gt;PLOS Computational Biology&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/rentzeperis-23/cite.bib"&gt;
Cite
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&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1011459" target="_blank" rel="noopener"&gt;
DOI
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&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/rentzeperis-23" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
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&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>