<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: Genetic Circuit II :: 2026a-mantis-harper-blanco</title><link>https://pages.htgaa.org/2026a/mantis-harper-blanco/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
IANNs are more “organic” in that though it is still a structured system, it does not operate on a binary code as a genetic circuit does. This makes IANNs more attuned for detecting and accounting for fluctuating systems such as varied metabolic activity and hormone changes. IANNs can also support multiple functions at once while genetic circuits, in order to scale, need be highly specific. An IANNs system is responsive while a genetic circuit is decisive is how I think of it. However, though this sounds great, IANNs is more complex to build. </description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/mantis-harper-blanco/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>