<?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-tammy-sisodiya</title><link>https://pages.htgaa.org/2026a/tammy-sisodiya/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Q1) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?
IANNs can be rearranged, remodelled, or changed into a new form, layout, or function after their initial creation in comparison to boolean genetic circuits which are rigid/fixed, and its reconfiguring ability means it can be used for analytical devices integrating biological recognition elements (enzymes, microorganisms, antibodies) with transducers to detect bioavailable pollutants (microplastics, heavy metals) to check biotoxicity Less metabolic stress in cells with IANNs compared to boolean genetic circuits IANNs can do Complex pattern recognition and analog computation - IANNs can look at many variables like temperature, Wind Direction, Traffic Speed and Humidity and the logic derived from this is relationships and biological signatures for example, it is context aware and gives a probability based result (risk in percentage or category). This is the opposite for traditional genetic circuits, the same processing step is a conditional if/then statement, as Boolean circuits are limited to 2^n states. For example, if a city sensor receives an input that is “partly true” (e.g., moderate congestion but high humidity), a Boolean circuit may fail to trigger / provide an incorrect binary output.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/tammy-sisodiya/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>