https://pages.htgaa.org/2026a/isobel-jo-leonard/homework/week-07-hw-genetic-circuits-part-ii/index.htmlImportant Resources Lecture Recording 1 Recitation Recording Recitation Slides Lab Protocol PART 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Non-linear computing: Boolean genetic circuits can only compute linearly separable functions. As Halužan Vasle and Moškon state, a single-layer perceptron “can solely learn to classify linearly separable classes” meaning XOR and more complex classifications are unachievable without exponentially more logic gates which rapidly becoming unscalable (Britto Bisso et al. 2025). The multilayer architecture of IANNs instead allows hierarchical processing across layers, where the output of one layer becomes a weighted regulatory signal for the next. This gives IANNS the advantage of being able to encode sophisticated behaviours with far fewer biological parts.Hugoen