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briandepasquale committed Sep 23, 2024
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8 changes: 4 additions & 4 deletions preview/pr-8/2019/01/07/example-post-1.html
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"name": "Example post 1",
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8 changes: 4 additions & 4 deletions preview/pr-8/2021/09/30/example-post-2.html
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<meta name="author" content="jane-smith">
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<script type="application/ld+json">
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"name": "Example post 2",
"description": "My lab website",
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8 changes: 4 additions & 4 deletions preview/pr-8/2023/02/23/example-post-3.html
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<meta name="author" content="john-doe">
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"name": "Example post 3",
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2 changes: 1 addition & 1 deletion preview/pr-8/feed.xml
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="/preview/pr-8/feed.xml" rel="self" type="application/atom+xml" /><link href="/preview/pr-8/" rel="alternate" type="text/html" /><updated>2024-09-23T17:10:44+00:00</updated><id>/preview/pr-8/feed.xml</id><title type="html">DePasquale Lab</title><subtitle>My lab website</subtitle><entry><title type="html">Example post 3</title><link href="/preview/pr-8/2023/02/23/example-post-3.html" rel="alternate" type="text/html" title="Example post 3" /><published>2023-02-23T00:00:00+00:00</published><updated>2024-09-23T17:09:39+00:00</updated><id>/preview/pr-8/2023/02/23/example-post-3</id><content type="html" xml:base="/preview/pr-8/2023/02/23/example-post-3.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>john-doe</name></author><category term="biology," /><category term="medicine" /><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="/preview/pr-8/images/photo.jpg" /><media:content medium="image" url="/preview/pr-8/images/photo.jpg" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Example post 2</title><link href="/preview/pr-8/2021/09/30/example-post-2.html" rel="alternate" type="text/html" title="Example post 2" /><published>2021-09-30T00:00:00+00:00</published><updated>2024-09-23T17:09:39+00:00</updated><id>/preview/pr-8/2021/09/30/example-post-2</id><content type="html" xml:base="/preview/pr-8/2021/09/30/example-post-2.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>jane-smith</name></author><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary></entry><entry><title type="html">Example post 1</title><link href="/preview/pr-8/2019/01/07/example-post-1.html" rel="alternate" type="text/html" title="Example post 1" /><published>2019-01-07T00:00:00+00:00</published><updated>2024-09-23T17:09:39+00:00</updated><id>/preview/pr-8/2019/01/07/example-post-1</id><content type="html" xml:base="/preview/pr-8/2019/01/07/example-post-1.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>]]></content><author><name>sarah-johnson</name></author><category term="biology" /><category term="medicine" /><category term="big data" /><summary type="html"><![CDATA[Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.]]></summary></entry></feed>
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16 changes: 16 additions & 0 deletions preview/pr-8/index.html
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<div class="feature-text">


<p>Recent advances in machine learning methods for computation chemistry have opened exciting new avenues for understanding olfaction. We have used self-supervised learning to construct robust ML models to predict OSN responses in small olfactory datasets.</p>

<p class="center">Relevant paper: <a href="https://doi.org/10.1016/j.neuron.2022.12.007"><em>Improved odor-receptor interaction predictions via self supervised learning</em></a> <br>
McConachie, G, Duniec, E, Younger, M, DePasquale (2024) <br>
NAIsys CSHL 2024</p>

</div>
</div>

<div class="feature">
<a class="feature-image" aria-label="feature link">
<img src="/preview/pr-8/images/NNs.jpg" loading="lazy" alt="feature image" onerror="this.src = '/preview/pr-8/images/fallback.svg'; this.onerror = null;">
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<p>Biological neural networks compute differently than most artificial neural networks used in machine learning. For example, although real neurons communicate with spikes, reproducing this feature in artificial models has been a challenge. We develop methods for training biophysically detailed neural networks and use thse models to understand how real biologial circuits compute. Through mathematical modeling, we focus on building tighter links between biologial neural networks and more abstract artifical neural network models used in machine learning.</p>

<p class="center">Relevant paper: <a href="https://doi.org/10.1016/j.neuron.2022.12.007"><em>The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks</em></a> <br>
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