<?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 — Genetic Circuits Part II: Neuromorphic Circuits :: 2026a-alvaro-pacheco-concha-buonamici</title><link>https://pages.htgaa.org/2026a/alvaro-pacheco-concha-buonamici/homework/week-7--genetic-circuits-part-ii-neuromorphic-circuits/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs)
What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? IANNs provide a significant advantage over Boolean genetic circuits by enabling analog computation, which allows cells to process a continuous range of signal concentrations rather than simple on/off states. This capability leads to more efficient signal integration, as a single layer can replace complex cascades of logic gates, while offering greater tunability by adjusting molecular weights like promoter strengths without re-engineering the entire system.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/alvaro-pacheco-concha-buonamici/homework/week-7--genetic-circuits-part-ii-neuromorphic-circuits/index.xml" rel="self" type="application/rss+xml"/></channel></rss>