<?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-mariia-moshchenskaia</title><link>https://pages.htgaa.org/2026a/mariia-moshchenskaia/homework/week-07-hw-genetic-circuits-part-ii-neuromorphic-circuits/index.html</link><description>Assignment Part 1: Intracellular Artificial Neural Networks (IANNs)
Advantages of IANNs over Boolean genetic circuits Analog computation (continuous molecular concentrations) Weighted summation of multiple inputs Nonlinear activation (sigmoid via cooperativity) More compact (one neuron replaces many logic gates) Tunable weights (promoter/RBS strength) Application: cancer biomarker detection Inputs: concentrations of miRNAs (e.g., miR‑21, miR‑155) Output: therapeutic protein or fluorescent reporter Limitations: noise, difficulty of weight tuning, latency (minutes to hours), metabolic load</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/mariia-moshchenskaia/homework/week-07-hw-genetic-circuits-part-ii-neuromorphic-circuits/index.xml" rel="self" type="application/rss+xml"/></channel></rss>