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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memristive model of amoeba's learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/0810.4179/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/0810.4179/feed.xml" rel="self" type="application/rss+xml" /><item><title>Memristive model of amoeba's learning — mentioned by jaekwon</title><link>https://news.ycombinator.com/item?id=695083</link><guid isPermaLink="false">urn:hackerpapers:mention:0810.4179:695083</guid><pubDate>Thu, 09 Jul 2009 02:17:25 GMT</pubDate><description>&lt;p&gt;The research paper that the newscientist article is referring to ( http://arxiv.org/pdf/0810.4179v2 ) points to some resonance behavior of memristors&amp;#x27; &amp;quot;LC contour&amp;quot;. I don&amp;#x27;t understand memristors very well, but it seems that the only connection between memristors and the amoeba&amp;#x27;s &amp;quot;predictive&amp;quot; behavior is resonance, if there is a connection at all. While memristors are cool and may in fact help us understand / mimic the learning ability of animals, the amoeba&amp;#x27;s ability to &amp;quot;predict&amp;quot; external forces is a weak, weak link.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0810.4179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.CB</category></item><item><title>Memristive model of amoeba's learning — mentioned by jaekwon</title><link>https://news.ycombinator.com/item?id=695012</link><guid isPermaLink="false">urn:hackerpapers:mention:0810.4179:695012</guid><pubDate>Thu, 09 Jul 2009 01:20:36 GMT</pubDate><description>&lt;p&gt;The research paper that the newscientist article is referring to ( http://arxiv.org/pdf/0810.4179v2 ) points to some resonance behavior of memristors&amp;#x27; &amp;quot;LC contour&amp;quot;. I don&amp;#x27;t understand memristors very well, but it seems that the only connection between memristors and the amoeba&amp;#x27;s &amp;quot;predictive&amp;quot; behavior is resonance, if there is a connection at all. While memristors are cool and may in fact help us understand / mimic the learning ability of animals, the amoeba&amp;#x27;s ability to &amp;quot;predict&amp;quot; external forces is a weak, weak link.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0810.4179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.CB</category></item><item><title>Memristive model of amoeba's learning — mentioned by ntownsend</title><link>https://news.ycombinator.com/item?id=694406</link><guid isPermaLink="false">urn:hackerpapers:mention:0810.4179:694406</guid><pubDate>Wed, 08 Jul 2009 18:44:00 GMT</pubDate><description>&lt;p&gt;Ah. I misread the NewScientist article. It wasn&amp;#x27;t clear to me that in the experiment to mimic the slime they, in fact, modeled the slime with a circuit that _included_ a memristor and not with just a memristor. The paper the article cites also made things much clearer: http://fr.arxiv.org/abs/0810.4179&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0810.4179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.CB</category></item></channel></rss>
