https://pages.htgaa.org/2026a/fabrizio-flores-huaman/homework/week-07-hw-genetic-circuits-part-ii/index.htmlThis week covers neuromorphic genetic circuits, showing how engineered gene networks can implement neural-network “perceptron”-like computation and learning. Homework Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Traditional Boolean circuits are limited because they only understand “on” or “off” (0 or 1), which doesn’t reflect the noisy and analog reality of a cell. IANNs allow for weighted inputs and non-linear integration, meaning the cell can make decisions based on the concentration of signals rather than just their presence. This allows for complex pattern recognition, like identifying a specific metabolic state or a signature of multiple biomarkers, making the decision-making process much more robust and “intelligent” than a simple AND/OR gate.Hugoen