<?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-eleonora-kim</title><link>https://pages.htgaa.org/2026a/eleonora-kim/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1 What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
Traditional genetic circuits implement Boolean logic gates (AND, OR, NOT, NAND, etc.), hence their input/output relationships are discrete - a gene is either ON or OFF. This allows only binary decision-making and makes it difficult to represent graded, continuous, or context-dependent responses. IANNs provide continuos computation where inputs and outputs exist on a continuum, allowing cells to integrate multiple signals simultaneously.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/eleonora-kim/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>