<?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 Circuits Part II: Neuromorphic Circuits :: 2026a-karina-campos</title><link>https://pages.htgaa.org/2026a/karina-campos/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1: Intracellular Artificial Neural Networks (IANNs)
What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Traditional genetic circuits operate like a light switch (0 or 1). IANNs, however, behave like a signal processor, offering several critical advantages:
Analog vs. Digital Processing. Boolean circuits only detect if a signal is “present” or “absent.” IANNs process signals analytically, so they can distinguish between low, medium, and high concentrations. This allows the cell to respond to gradients, which is much closer to how natural biological systems actually function.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/karina-campos/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>