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Artificial Life|May 4, 2023
Design and Simulation of a Multilayer Chemical Neural Network That Learns via BackpropagationMatthew R LakinPhysical Review Letters|February 1, 2008
Damage spreading and criticality in finite random dynamical networksThimo Rohlf, Natali Gulbahce, Christof TeuscherPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 18, 2013
Computational capabilities of random automata networks for reservoir computingDavid Snyder, Alireza Goudarzi, Christof TeuscherIEEE Transactions on Neural Networks and Learning Systems|February 8, 2022
Supervised Learning in a Multilayer, Nonlinear Chemical Neural NetworkDavid Arredondo, Matthew R LakinPlos Computational Biology|November 18, 2022
Operant conditioning of stochastic chemical reaction networksDavid Arredondo, Matthew R LakinACS Synthetic Biology|April 26, 2016
Supervised Learning in Adaptive DNA Strand Displacement NetworksMatthew R Lakin, Darko StefanovicRoyal Society Open Science|December 24, 2021
Robust finite automata in stochastic chemical reaction networksDavid Arredondo, Matthew R LakinACS Synthetic Biology|June 27, 2020
Domain-Specific Programming Languages for Computational Nucleic Acid SystemsMatthew R Lakin, Andrew PhillipsJournal of the Royal Society, Interface|November 14, 2023
A geometric framework for reaction enumeration in computational nucleic acid devicesSarika Kumar, Matthew R LakinACS Synthetic Biology|June 24, 2022
Protecting Heterochiral DNA Nanostructures against Exonuclease-Mediated DegradationTracy L Mallette, Matthew R LakinPageof 8