<?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 Part2 :: 2026a-diogo-custodio</title><link>https://pages.htgaa.org/2026a/diogo-custodio/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? Traditional genetic circuits based on digital logic are primarily limited by low complexity of operations and needing an expressive amount of metabolic effort from cells. IANNs have the advantage of using analog logic. By leveraging non-linear functions and using continuous input ranges, instead of Boolean circuits that require discrete thresholds, neuromorphic systems allow for more nuanced decision-making, while reducing the metabolic burden since fewer components are needed. Intracellular Neural Networks take advantage of the type of chaotic organization that already happens inside a cell, instead of trying to impose a translation of logic into more readable inputs and outputs like digital logic does, providing access to more complexity, scalability and adaptability to different environments. The main drawback of neuromorphic systems is noise, like any biologic system, but this can be mitigated through the aggregation of information across a population of cells which diminishes the intrinsic noise of cellular environments.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/diogo-custodio/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>