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	<title>#neurons - Seenthis</title>

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        <id>https://seenthis.net/tag/neurons</id>
        <updated>2026-03-08T13:11:45Z</updated>
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	<entry>
	<id>urn:uuid:0a10e102-51ff-204e-3a04-f13c63cff084</id>
	<title>Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative&#8230;</title>
	<author>
		<name>aurelieng  (@aurelieng)</name>
		<uri>https://seenthis.net/people/aurelieng</uri>
		<email>aurelieng@seenthis.net</email>
		
	</author>
	<published>2025-08-10T11:02:29Z</published>
	<updated>2025-08-10T11:02:29Z</updated>
	
	 <link href="https://seenthis.net/messages/1129619" />
	
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	<summary>Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative processes in #brainstem | Nature Communications
https://www.nature.com/articles/s41467-025-62048-7

❝— Permalink❞
#covid19 #longcovid #neurons #transcriptome</summary>
	<content type="html"><![CDATA[<div lang="en" dir="ltr"><p>Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative processes in <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/brainstem'>brainstem</a></span> | Nature Communications<br><span class='lien_lien'><span class='lien_lien_total'><a rel='nofollow' href='https://seenthis.net/sites/7282461336008189687'>▻</a></span><a rel='nofollow' href="https://www.nature.com/articles/s41467-025-62048-7" class='spip_out' title="Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative processes in brainstem" hreflang="en"><span class='lien_court'><span class='lien_protocol'>https://</span><span class='lien_racine'><span class='lien_host'><span class='lien_www'>www.</span>nature.com</span>/</span>articles/<span class='lien_fin'>s41467-025-62048-7</span></span></a></span></p><blockquote lang="lt" dir="ltr"><p> &mdash; Permalink </p></blockquote><p><span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/covid19'>covid19</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/longcovid'>longcovid</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/neurons'>neurons</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/transcriptome'>transcriptome</a></span></p></div>]]></content>
	
	<link rel="related" href="https://www.nature.com/articles/s41467-025-62048-7" title="Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative processes in brainstem" hreflang="en"/>
	
	
	<category term="brainstem" label="brainstem" scheme="https://seenthis.net/tag/brainstem"/>
	<category term="covid19" label="covid19" scheme="https://seenthis.net/tag/covid19"/>
	<category term="longcovid" label="longcovid" scheme="https://seenthis.net/tag/longcovid"/>
	<category term="neurons" label="neurons" scheme="https://seenthis.net/tag/neurons"/>
	<category term="transcriptome" label="transcriptome" scheme="https://seenthis.net/tag/transcriptome"/>
</entry>

	<entry>
	<id>urn:uuid:bdc7349b-b82f-d47f-6bfe-fa137d088ac7</id>
	<title>perceptron &#8212; Deep Learning Basics</title>
	<author>
		<name>Hacker Noon  (@hackernoon)</name>
		<uri>https://seenthis.net/people/hackernoon</uri>
		<email>hackernoon@seenthis.net</email>
		
	</author>
	<published>2019-02-24T00:57:49Z</published>
	<updated>2019-02-24T00:57:49Z</updated>
	
	 <link href="https://seenthis.net/messages/762594" />
	
	<link rel="edit" href="https://seenthis.net/api/messages/762594"/>
	<summary>#perceptron — Deep Learning Basics
https://hackernoon.com/perceptron-deep-learning-basics-3a938c5f84b6?source=rss----3a8144eabfe3---4

https://cdn-images-1.medium.com/max/299/1*qU7uGWLNm8Fkc5HumQd21g.png

❝Perceptron — Deep Learning BasicsAn upgrade to McCulloch-Pitts Neuron.Perceptron is a fundamental unit of the neural network which takes weighted inputs, process it and capable of performing binary classifications. In this post, we will discuss the working of the Perceptron Model. This is a follow-up blog post to my previous post on McCulloch-Pitts Neuron.In 1958 Frank Rosenblatt proposed the perceptron, a more generalized computational model than the McCulloch-Pitts Neuron. The important feature in the Rosenblatt proposed perceptron was the introduction of weights for the inputs. Later in 1960s Rosenblatt’s Model was refined and perfected by Minsky and Papert. Rosenblatt’s model is called as classical perceptron and the model analyzed by Minsky and Papert is called perceptron.Disclaimer: (...)❞
#neurons #artificial-intelligence #deep-learning #deep-learning-basics</summary>
	<content type="html"><![CDATA[<div lang="pt_BR" dir="ltr"><p><span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/perceptron'>perceptron</a></span> — Deep Learning Basics<br><span class='lien_lien'><span class='lien_lien_total'><a rel='nofollow' href='https://seenthis.net/sites/1601371'>▻</a></span><a rel='nofollow' href="https://hackernoon.com/perceptron-deep-learning-basics-3a938c5f84b6?source=rss----3a8144eabfe3---4" class='spip_out' title="Perceptron — Deep Learning Basics – Hacker Noon" hreflang="en"><span class='lien_court'><span class='lien_protocol'>https://</span><span class='lien_racine'><span class='lien_host'>hackernoon.com</span>/</span><span class='lien_fin'><span class='lien_fin_coupee'>perceptron-deep-learning-ba</span><span class='lien_fin_cachee'>sics-3a938c5f84b6?source=rss----3a8144eabfe3-</span></span></span></a></span></p><p><div class='seenthis_pics seenthis_pics_1'><a onclick='return false;' href='https://cdn-images-1.medium.com/max/299/1*qU7uGWLNm8Fkc5HumQd21g.png' class='display_box'><span class='image' style='padding-bottom:115.05016722408%'><img src='https://seenthis.net/local/cache-vignettes/L299xH344/1qU7uGWLNm8F66c5-cc51b.png' alt='' data-photo='https://cdn-images-1.medium.com/max/299/1*qU7uGWLNm8Fkc5HumQd21g.png' data-photo-h='344' data-photo-w='299' /></span><span class="lien_court"><span class="lien_off"> https://cdn-images-1.medium.com/max/299/1*qU7uGWLNm8Fkc5HumQd21g.png </span></span></a></div></p><blockquote lang="en" dir="ltr"><p> Perceptron — Deep Learning&nbsp;BasicsAn upgrade to McCulloch-Pitts Neuron.Perceptron is a fundamental unit of the neural network which takes weighted inputs, process it and capable of performing binary classifications. In this post, we will discuss the working of the Perceptron Model. This is a follow-up blog post to my previous post on McCulloch-Pitts Neuron.In 1958 Frank Rosenblatt proposed the perceptron, a more generalized computational model than the McCulloch-Pitts Neuron. The important feature in the Rosenblatt proposed perceptron was the introduction of weights for the inputs. Later in 1960s Rosenblatt’s Model was refined and perfected by Minsky and Papert. Rosenblatt’s model is called as classical perceptron and the model analyzed by Minsky and Papert is called perceptron.Disclaimer:&nbsp;(...) </p></blockquote><p><span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/neurons'>neurons</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/artificial-intelligence'>artificial-intelligence</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/deep-learning'>deep-learning</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/deep-learning-basics'>deep-learning-basics</a></span></p></div>]]></content>
	
	<link rel="related" href="https://hackernoon.com/perceptron-deep-learning-basics-3a938c5f84b6?source=rss----3a8144eabfe3---4" title="Perceptron&#8202;&#8212;&#8202;Deep Learning Basics &#8211; Hacker Noon" hreflang="en"/>
	
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	<category term="perceptron" label="perceptron" scheme="https://seenthis.net/tag/perceptron"/>
	<category term="neurons" label="neurons" scheme="https://seenthis.net/tag/neurons"/>
	<category term="artificial-intelligence" label="artificial-intelligence" scheme="https://seenthis.net/tag/artificial-intelligence"/>
	<category term="deep-learning" label="deep-learning" scheme="https://seenthis.net/tag/deep-learning"/>
	<category term="deep-learning-basics" label="deep-learning-basics" scheme="https://seenthis.net/tag/deep-learning-basics"/>
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	<category term="Person:Frank Rosenblatt" label="Frank Rosenblatt" scheme="https://seenthis.net/tag/person:frank%20rosenblatt"/>
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</entry>

	<entry>
	<id>urn:uuid:0bad2286-9bb7-b4ec-bd40-a712e81a17c6</id>
	<title>McCulloch Pitts Neuron &#8212; Deep Learning Building Blocks</title>
	<author>
		<name>Hacker Noon  (@hackernoon)</name>
		<uri>https://seenthis.net/people/hackernoon</uri>
		<email>hackernoon@seenthis.net</email>
		
	</author>
	<published>2019-02-23T19:25:48Z</published>
	<updated>2019-02-23T19:25:48Z</updated>
	
	 <link href="https://seenthis.net/messages/762543" />
	
	<link rel="edit" href="https://seenthis.net/api/messages/762543"/>
	<summary>McCulloch Pitts Neuron — Deep Learning Building Blocks
https://hackernoon.com/mcculloch-pitts-neuron-deep-learning-building-blocks-7928f4e0504d?source=rss----3a8144eabfe3---4

https://cdn-images-1.medium.com/max/470/1*ZVuxQ-2WXL6X_3r96pvfJg.png

❝McCulloch Pitts Neuron — Deep Learning Building BlockThe fundamental block of deep learning is artificial neuron i.e.. it takes a weighted aggregate of inputs, applies a function and gives an output. The very first step towards the artificial neuron was taken by Warren McCulloch and Walter Pitts in 1943 inspired by neurobiology, created a model known as McCulloch-Pitts Neuron.Disclaimer: The content and the structure of this article is based on the deep learning lectures from One-Fourth Labs — Padhai.Motivation — Biological NeuronThe inspiration for the creation of an artificial neuron comes from the biological neuron.Fig — 1 Biological Neuron — Padhai Deep LearningIn a simplistic view, #neurons receive signals and produce a response. The general structure of a neuron is shown in the Fig-1. Dendrites (...)❞
#artificial-intelligence #mcculloch-pitts-neuron #deep-learning #machine-learning</summary>
	<content type="html"><![CDATA[<div lang="sv" dir="ltr"><p>McCulloch Pitts Neuron — Deep Learning Building Blocks<br><span class='lien_lien'><span class='lien_lien_total'><a rel='nofollow' href='https://seenthis.net/sites/1601236'>▻</a></span><a rel='nofollow' href="https://hackernoon.com/mcculloch-pitts-neuron-deep-learning-building-blocks-7928f4e0504d?source=rss----3a8144eabfe3---4" class='spip_out' title="McCulloch Pitts Neuron — Deep Learning Building Blocks" hreflang="en"><span class='lien_court'><span class='lien_protocol'>https://</span><span class='lien_racine'><span class='lien_host'>hackernoon.com</span>/</span><span class='lien_fin'><span class='lien_fin_coupee'>mcculloch-pitts-neuron-deep</span><span class='lien_fin_cachee'>-learning-building-blocks-7928f4e0504d?source</span></span></span></a></span></p><p><div class='seenthis_pics seenthis_pics_1'><a onclick='return false;' href='https://cdn-images-1.medium.com/max/470/1*ZVuxQ-2WXL6X_3r96pvfJg.png' class='display_box'><span class='image' style='padding-bottom:106.17021276596%'><img src='https://seenthis.net/local/cache-vignettes/L470xH499/1ZVuxQ-2WXL60c03-ee5b3.png' alt='' data-photo='https://cdn-images-1.medium.com/max/470/1*ZVuxQ-2WXL6X_3r96pvfJg.png' data-photo-h='499' data-photo-w='470' /></span><span class="lien_court"><span class="lien_off"> https://cdn-images-1.medium.com/max/470/1*ZVuxQ-2WXL6X_3r96pvfJg.png </span></span></a></div></p><blockquote lang="en" dir="ltr"><p> McCulloch Pitts Neuron — Deep Learning Building&nbsp;BlockThe fundamental block of deep learning is artificial neuron i.e.. it takes a weighted aggregate of inputs, applies a function and gives an output. The very first step towards the artificial neuron was taken by Warren McCulloch and Walter Pitts in 1943 inspired by neurobiology, created a model known as McCulloch-Pitts Neuron.Disclaimer: The content and the structure of this article is based on the deep learning lectures from One-Fourth Labs — Padhai.Motivation — Biological NeuronThe inspiration for the creation of an artificial neuron comes from the biological neuron.Fig — 1 Biological Neuron — Padhai Deep&nbsp;LearningIn a simplistic view, <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/neurons'>neurons</a></span> receive signals and produce a response. The general structure of a neuron is shown in the Fig-1. Dendrites&nbsp;(...) </p></blockquote><p><span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/artificial-intelligence'>artificial-intelligence</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/mcculloch-pitts-neuron'>mcculloch-pitts-neuron</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/deep-learning'>deep-learning</a></span> <span class='lien_tag'>#<a rel='nofollow' href='https://seenthis.net/tag/machine-learning'>machine-learning</a></span></p></div>]]></content>
	
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