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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>CON Talks</title>
<link href="https://fonts.googleapis.com/css?family=Open+Sans:300,400,600,700" rel="stylesheet" type="text/css">
<style>
/* Loose visual rhyme with https://centerforopenneuroscience.org/ */
:root {
--con-blue: #87AADE;
--con-dark: #38434C;
--con-text: #333;
--con-muted: #777;
}
* { box-sizing: border-box; }
body {
margin: 0;
font-family: 'Open Sans', -apple-system, BlinkMacSystemFont, sans-serif;
font-weight: 400;
color: var(--con-text);
background: #fff;
line-height: 1.5;
}
header {
background: var(--con-blue);
color: #fff;
padding: 2em 1em;
}
header .inner { max-width: 960px; margin: 0 auto; }
header h1 {
margin: 0;
font-weight: 600;
font-size: 2em;
}
header h1 a { color: #fff; text-decoration: none; }
header p {
margin: 0.25em 0 0 0;
font-weight: 300;
font-size: 1.1em;
opacity: 0.95;
}
main {
max-width: 960px;
margin: 0 auto;
padding: 2em 1em 4em 1em;
}
main h2 {
font-weight: 600;
color: var(--con-dark);
border-bottom: 2px solid var(--con-blue);
padding-bottom: 0.25em;
margin-top: 1.75em;
}
ul.talks {
list-style: none;
padding: 0;
margin: 0.5em 0;
}
ul.talks li {
padding: 0.5em 0;
border-bottom: 1px solid #eee;
}
ul.talks a {
color: var(--con-dark);
text-decoration: none;
font-weight: 600;
}
ul.talks a:hover { color: var(--con-blue); text-decoration: underline; }
ul.talks .file {
display: block;
font-family: 'Source Code Pro', monospace;
font-size: 0.85em;
color: var(--con-muted);
font-weight: 400;
}
footer {
background: var(--con-dark);
color: #fff;
padding: 1.5em 1em;
font-size: 0.9em;
}
footer .inner { max-width: 960px; margin: 0 auto; }
footer a { color: var(--con-blue); }
</style>
</head>
<body>
<header>
<div class="inner">
<h1><a href="https://centerforopenneuroscience.org/">Center for Open Neuroscience</a></h1>
<p>Talks & slide decks</p>
</div>
</header>
<main>
<p>Slides from talks and workshops by CON people. This location is also a DataLad dataset (git/git-annex repository) so you can datalad clone it to get all the sources and materials.</p>
<h2>2026</h2>
<ul class="talks">
<li><a href="2026-repronim-YODA-BIDS-webinar.html">ReproFlow & YODA: Structure your studies, observable and reproducible they become</a> <span class="file">2026-repronim-YODA-BIDS-webinar.html</span></li>
<li><a href="2026-nih-bids2.0.html">BIDS 2.0</a> <span class="file">2026-nih-bids2.0.html</span></li>
<li><a href="2026-ca-origami-retreat-aicoding.html">A few words of intro into AI assisted coding</a> <span class="file">2026-ca-origami-retreat-aicoding.html</span></li>
</ul>
<h2>2025</h2>
<ul class="talks">
<li><a href="2025-distribits-YODA.html">Pragmatic YODA: overview of YODA principles and their wild life encounters</a> <span class="file">2025-distribits-YODA.html</span></li>
<li><a href="2025-ca-origami-retreat.html">A challenge on the way to Neuroscience Nirvana</a> <span class="file">2025-ca-origami-retreat.html</span></li>
</ul>
<h2>2024</h2>
<ul class="talks">
<li><a href="2024-distribits-datalad-name.html">"What's in the DataLad name" AKA How come DataLad?</a> <span class="file">2024-distribits-datalad-name.html</span></li>
<li><a href="2024-distribits-datalad.html">"What's in the DataLad sandwich" AKA DataLad "ecosystem"</a> <span class="file">2024-distribits-datalad.html</span></li>
</ul>
<h2>2023</h2>
<ul class="talks">
<li><a href="2023-lbl-building-dandi.html">Building an Archive for Large-scale Neuroscience Data</a> <span class="file">2023-lbl-building-dandi.html</span></li>
<li><a href="2023-brain-dandi-imgdatasrc.html">DANDI: distributed archives for neurophysiology data integration</a> <span class="file">2023-brain-dandi-imgdatasrc.html</span></li>
<li><a href="2023-brain-dandi.html">DANDI: distributed archives for neurophysiology data integration</a> <span class="file">2023-brain-dandi.html</span></li>
<li><a href="2023-bids-dicom.html">BIDS 4 DICOM WG-16</a> <span class="file">2023-bids-dicom.html</span></li>
</ul>
<h2>2022</h2>
<ul class="talks">
<li><a href="2022-tx-big-neuroscience.html">Towards the Big Data Neuroscience Nirvana</a> <span class="file">2022-tx-big-neuroscience.html</span></li>
<li><a href="2022-nih-compcore.html">An Integrated and Trusted Scientific and Statistical Computing Core</a> <span class="file">2022-nih-compcore.html</span></li>
</ul>
</main>
<footer>
<div class="inner">
Auto-generated by <code>tools/create_index.sh</code>.
</div>
</footer>
</body>
</html>