<?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 Part II: Neuromorphic Circuits :: 2026a-olga-mineyeva-2</title><link>https://pages.htgaa.org/2026a/olga-mineyeva-2/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Part 1: Intracellular Artificial Neural Networks (IANNs) Advantages IANNs have over traditional genetic circuits There are several advantages: 1) IANN processing uses graded values and the output is analog, just like continuous biochemical signals being graded and variable, not digital on/off; 2) adaptability of the circuit design as any function can be designed and simulated with changed weights instead of rebuilding circuit topology; 3) weights in IANN correspond directly to a real biological interactions (activation/repression of a gene); 4) IANNs more efficiently use limited cellular resources (weights are tuned instead of gates chained).</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/olga-mineyeva-2/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>