Sequestration-Based Neural Networks That Operate Out of Equilibrium
Eiji Nakamura, Frank Britto Bisso, Ignacio Gispert, Hossein Moghimianavval, Sota L Okuda, Alicja Przybyszewska-Podstawka, Samuel Chisholm, Varunaa Sri Hemanth Kumar, Valerie A Pérez Medina, Ming-Ru Wu, Christian Cuba Samaniego
This paper designs and experimentally validates biomolecular neural networks using molecular sequestration, demonstrating their ability to function as linear classifiers in living systems.
bioRxiv · May 16, 2025 · PreprintSynthetic Biology