<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 07 HW: Genetic circuits part II: Neuromorphic Circuits :: 2026a-danna-betancourt-rodriguez</title><link>https://pages.htgaa.org/2026a/danna-betancourt-rodriguez/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs)
1. What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Boolean network models contain a set of variables; each variable might have one of two possible values: false or true. In contrast, IANNs can approximate a wide range of nonlinear functions, obtaining multi-level outputs, which allows taking more precise decisions.
IANNs are designed to work with continuous signals, so they can be more robust to that variability than a circuit, making it easy to build big and complex systems. They can incorporate time and dynamics.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/danna-betancourt-rodriguez/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>