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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>First-spike based visual categorization using reward-modulated STDP · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.09132/</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/1705.09132/feed.xml" rel="self" type="application/rss+xml" /><item><title>First-spike based visual categorization using reward-modulated STDP — mentioned by thunderbird120</title><link>https://news.ycombinator.com/item?id=20163566</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.09132:20163566</guid><pubDate>Wed, 12 Jun 2019 11:45:05 GMT</pubDate><description>&lt;p&gt;STDP based SNNs don&amp;#x27;t take much secret sauce to function reasonably well for basic tasks[1]. Some people have even started to apply reward modulated STDP to the problem which is nice to see since it&amp;#x27;s a more complete version of STDP[2]. Even so, the amount of research in the area is tiny. I agree that you need to figure out the whole working algorithm before trying to scale things up but to do that you need a research base and currently that is difficult because running large SNNs is very slow for an average researcher without access to specialized hardware. The primary factor which kicked…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.09132/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.NC</category></item></channel></rss>
