<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Doc-2-Amu | Laurent Perrinet</title><link>https://laurentperrinet.github.io/project/doc-2-amu/</link><atom:link href="https://laurentperrinet.github.io/project/doc-2-amu/index.xml" rel="self" type="application/rss+xml"/><description>Doc-2-Amu</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>Sun, 27 Sep 2020 00:00:00 +0000</lastBuildDate><image><url>https://laurentperrinet.github.io/media/icon_hu_f2990a9a83ba401.png</url><title>Doc-2-Amu</title><link>https://laurentperrinet.github.io/project/doc-2-amu/</link></image><item><title>Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding</title><link>https://laurentperrinet.github.io/publication/franciosini-20-cosyne/</link><pubDate>Sun, 27 Sep 2020 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/franciosini-20-cosyne/</guid><description>
&lt;figure &gt;
&lt;div class="d-flex justify-content-center"&gt;
&lt;div class="w-100" &gt;&lt;img alt="" srcset="
/publication/franciosini-20-cosyne/poster_hu_cc0b7bbc8d204665.webp 400w,
/publication/franciosini-20-cosyne/poster_hu_a7d47dd018b610b3.webp 760w,
/publication/franciosini-20-cosyne/poster_hu_36be61e7c71bfc36.webp 1200w"
src="https://laurentperrinet.github.io/publication/franciosini-20-cosyne/poster_hu_cc0b7bbc8d204665.webp"
width="100%"
height="540"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;ul&gt;
&lt;li&gt;see the follow-up paper in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&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;
(2022).
&lt;a href="https://laurentperrinet.github.io/publication/franciosini-21/"&gt;Pooling in a predictive model of V1 explains functional and structural diversity across species&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/franciosini-21/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1010270" 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/franciosini-21" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://www.biorxiv.org/content/10.1101/2021.04.19.440444" target="_blank" rel="noopener"&gt;
bioRxiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;
&lt;figure &gt;
&lt;div class="d-flex justify-content-center"&gt;
&lt;div class="w-100" &gt;&lt;img alt="" srcset="
/publication/franciosini-20-cosyne/@laurentperrinet_1384940135419101187_tweetcapture_hu_8335c3c783c6489d.webp 400w,
/publication/franciosini-20-cosyne/@laurentperrinet_1384940135419101187_tweetcapture_hu_7077eb9741aaae35.webp 760w,
/publication/franciosini-20-cosyne/@laurentperrinet_1384940135419101187_tweetcapture_hu_181d438cb8d0dffc.webp 1200w"
src="https://laurentperrinet.github.io/publication/franciosini-20-cosyne/@laurentperrinet_1384940135419101187_tweetcapture_hu_8335c3c783c6489d.webp"
width="556"
height="760"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;</description></item><item><title>Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding</title><link>https://laurentperrinet.github.io/publication/franciosini-20-sigma/</link><pubDate>Mon, 30 Mar 2020 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/franciosini-20-sigma/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Effect of top-down connections in Hierarchical Sparse Coding</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/</link><pubDate>Tue, 04 Feb 2020 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/</guid><description>&lt;p&gt;
&lt;figure &gt;
&lt;div class="d-flex justify-content-center"&gt;
&lt;div class="w-100" &gt;&lt;img alt="" srcset="
/publication/boutin-franciosini-ruffier-perrinet-20-feedback/@laurentperrinet_1323549136088694790_tweetcapture_hu_ff7f0ffcb6cc9f53.webp 400w,
/publication/boutin-franciosini-ruffier-perrinet-20-feedback/@laurentperrinet_1323549136088694790_tweetcapture_hu_be9b10346485b501.webp 760w,
/publication/boutin-franciosini-ruffier-perrinet-20-feedback/@laurentperrinet_1323549136088694790_tweetcapture_hu_cf7ef38c15a5fbfe.webp 1200w"
src="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/@laurentperrinet_1323549136088694790_tweetcapture_hu_ff7f0ffcb6cc9f53.webp"
width="598"
height="676"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;get the code @ &lt;a href="https://github.com/VictorBoutin/SPC_2L" target="_blank" rel="noopener"&gt;https://github.com/VictorBoutin/SPC_2L&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;see a related work describing SDPC in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system</title><link>https://laurentperrinet.github.io/publication/boutin-20-sigma/</link><pubDate>Sun, 03 Mar 2019 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-20-sigma/</guid><description>&lt;ul&gt;
&lt;li&gt;presented during this &lt;a href="https://laurentperrinet.github.io/talk/2019-03-25-hdr-robin-baures/"&gt;talk&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding</title><link>https://laurentperrinet.github.io/publication/franciosini-perrinet-19-neurofrance/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/franciosini-perrinet-19-neurofrance/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Modelling Complex Cells of Early Visual Cortex using Predictive Coding</title><link>https://laurentperrinet.github.io/publication/franciosini-perrinet-19-cns/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/franciosini-perrinet-19-cns/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Sparse Deep Predictive Coding to model visual object recognition</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/</guid><description>&lt;p&gt;
&lt;figure &gt;
&lt;div class="d-flex justify-content-center"&gt;
&lt;div class="w-100" &gt;&lt;img alt="" srcset="
/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/@laurentperrinet_1186196186170044421_tweetcapture_hu_246ae786be053f6a.webp 400w,
/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/@laurentperrinet_1186196186170044421_tweetcapture_hu_1e5d44e1b763963a.webp 760w,
/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/@laurentperrinet_1186196186170044421_tweetcapture_hu_6a3fc9c1f567c09e.webp 1200w"
src="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-19-sfn/@laurentperrinet_1186196186170044421_tweetcapture_hu_246ae786be053f6a.webp"
width="444"
height="760"
loading="lazy" data-zoomable /&gt;&lt;/div&gt;
&lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Top-down connection in Hierarchical Sparse Coding</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-19-gdr-robotics/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-19-gdr-robotics/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>From biological vision to unsupervised hierarchical sparse coding</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-18-itwist/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-18-itwist/</guid><description>&lt;ol&gt;
&lt;li&gt;accepted submission @ &lt;a href="https://sites.google.com/view/itwist18" target="_blank" rel="noopener"&gt;iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques&lt;/a&gt;, 21 - 23 November​, 2018&lt;/li&gt;
&lt;li&gt;&lt;a href="https://sites.google.com/view/itwist18/program#h.p_9OOcrreKb--s" target="_blank" rel="noopener"&gt;poster session&lt;/a&gt; scheduled on Thursday, November 22th, from 10h30 till 12h00.&lt;/li&gt;
&lt;li&gt;CIRM, Marseille, France. &lt;span id="line-10" class="anchor"&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;get the &lt;a href="https://arxiv.org/html/1812.00648" target="_blank" rel="noopener"&gt;full proceedings&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Poster as &lt;a href="boutin-franciosini-ruffier-perrinet-18-itwist.pdf"&gt;PDF&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ol&gt;</description></item><item><title>M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation</title><link>https://laurentperrinet.github.io/publication/dupeyroux-boutin-serres-perrinet-viollet-18/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/dupeyroux-boutin-serres-perrinet-viollet-18/</guid><description/></item><item><title>On the Origins of Hierarchy in Visual Processing</title><link>https://laurentperrinet.github.io/publication/franciosini-perrinet-18-cs/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/franciosini-perrinet-18-cs/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-18-doctoral-day/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-18-doctoral-day/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Controlling an aerial robot with human gestures using bio-inspired algorithm</title><link>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-17-doctoral-day/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-17-doctoral-day/</guid><description>&lt;ul&gt;
&lt;li&gt;see a follow-up in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;more about the role of top-down connections:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2020).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/"&gt;Effect of top-down connections in Hierarchical Sparse Coding&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-ruffier-perrinet-20-feedback/boutin-franciosini-ruffier-perrinet-20-feedback.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-ruffier-perrinet-20-feedback/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco_a_01325" 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/boutin-franciosini-ruffier-perrinet-20-feedback/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/2002.00892" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Efficient learning of sparse image representations using homeostatic regulation</title><link>https://laurentperrinet.github.io/publication/boutin-ruffier-perrinet-17-neurofrance/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-ruffier-perrinet-17-neurofrance/</guid><description>&lt;ul&gt;
&lt;li&gt;This work is a followup of
&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;
(2010).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-10-shl/"&gt;Role of homeostasis in learning sparse representations&lt;/a&gt;.
&lt;em&gt;Neural Computation&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-10-shl/perrinet-10-shl.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-10-shl/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco.2010.05-08-795" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://hal.science/hal-00156610" target="_blank" rel="noopener"&gt;
Hal&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/bicv/SparseHebbianLearning" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1162/neco.2010.05-08-795" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/0706.3177" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;the &lt;a href="https://github.com/laurentperrinet/BoutinRuffierPerrinet17spars/raw/master/docs/BoutinRuffierPerrinet17neurofrance.pdf" target="_blank" rel="noopener"&gt;poster (PDF)&lt;/a&gt; will be presented Thursday, May 18 @ &lt;a href="https://www.professionalabstracts.com/sn2017/programme-sn2017.pdf" target="_blank" rel="noopener"&gt;NeuroFrance, Bordeaux&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;see a follow-up publication on
&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;
(2019).
&lt;a href="https://laurentperrinet.github.io/publication/perrinet-19-hulk/"&gt;An adaptive homeostatic algorithm for the unsupervised learning of visual features&lt;/a&gt;.
&lt;em&gt;Vision&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/perrinet-19-hulk/perrinet-19-hulk.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/perrinet-19-hulk/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.3390/vision3030047" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/SpikeAI/HULK" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://spikeai.github.io/HULK/" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li&gt;see a related work describing SDPC in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>Efficient learning of sparse image representations using homeostatic regulation</title><link>https://laurentperrinet.github.io/publication/boutin-ruffier-perrinet-17-spars/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://laurentperrinet.github.io/publication/boutin-ruffier-perrinet-17-spars/</guid><description>&lt;ul&gt;
&lt;li&gt;This work is a followup of &lt;a href="https://laurentperrinet.github.io/publication/perrinet-10-shl/"&gt;Perrinet, 2010, Neural Computation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;code is available @ &lt;a href="https://github.com/laurentperrinet/BoutinRuffierPerrinet17spars" target="_blank" rel="noopener"&gt;https://github.com/laurentperrinet/BoutinRuffierPerrinet17spars&lt;/a&gt; and heavily uses &lt;a href="https://github.com/bicv/SparseHebbianLearning" target="_blank" rel="noopener"&gt;https://github.com/bicv/SparseHebbianLearning&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;the &lt;a href="https://github.com/laurentperrinet/BoutinRuffierPerrinet17spars/raw/master/docs/BoutinRuffierPerrinet17spars.pdf" target="_blank" rel="noopener"&gt;poster (PDF)&lt;/a&gt; will be presented Thursday, June 8 @ &lt;a href="https://spars2017.lx.it.pt/index_files/SPARS2017_program.html" target="_blank" rel="noopener"&gt;SPARS, Lisbon&lt;/a&gt;.&lt;/li&gt;
&lt;li&gt;see a related work describing SDPC in:
&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/victor-boutin/"&gt;Victor Boutin&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/angelo-franciosini/"&gt;Angelo Franciosini&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/fr%C3%A9d%C3%A9ric-chavane/"&gt;Frédéric Chavane&lt;/a&gt;&lt;/span&gt;, &lt;span &gt;
&lt;a href="https://laurentperrinet.github.io/author/franck-ruffier/"&gt;Franck Ruffier&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;
(2021).
&lt;a href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/"&gt;Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system&lt;/a&gt;.
&lt;em&gt;PLoS Computational Biology&lt;/em&gt;.
&lt;p&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ruffier-perrinet-20/boutin-franciosini-chavane-ruffier-perrinet-20.pdf" target="_blank" rel="noopener"&gt;
PDF
&lt;/a&gt;
&lt;a href="#" class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal"
data-filename="/publication/boutin-franciosini-chavane-ruffier-perrinet-20/cite.bib"&gt;
Cite
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
DOI
&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://github.com/VictorBoutin/InteractionMap" target="_blank" rel="noopener"&gt;
Code&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://doi.org/10.1371/journal.pcbi.1008629" target="_blank" rel="noopener"&gt;
URL&lt;/a&gt;
&lt;a class="btn btn-outline-primary btn-page-header btn-sm" href="https://arxiv.org/abs/1902.07651" target="_blank" rel="noopener"&gt;
arXiv&lt;/a&gt;
&lt;/p&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>