Neural network computation with DNA strand displacement cascades

By Lulu Qian, Erik Winfree, Jehoshua Bruck. Nature, 2011

1,006 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7017eb6c2fb0ea580bc560f790dc3bbfae545e34

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In Cellular and Molecular Neuroscience

In Molecular Biology

Citations in the corpus

A DNA-Based Archival Storage System (2016, background): “Researchers have proposed the use of DNA for Boolean circuits [26], neural networks [21], and chemical reaction networks [5].”
Training Spiking Neural Networks Using Lessons From Deep Learning (2021, background): “What lessons can be learned from the brain to build more efficient neural networks? Should we replicate the genetic makeup of a neuron right down to the molecular level [29], [30]? Do we look at the way memory and processing coalesce within neurons and synapses [31], [32]? Or should we aim to extrac”
Large-scale de novo DNA synthesis: technologies and applications (2014, background): “Base-pairing and strand-invasion properties of DNA have also allowed researchers to explore interesting information processing and computational capabilities using small libraries of oligos [129] [130] [131] [132] .”
Programmable chemical controllers made from DNA (2013, methodology): “The DNA-only construction of digital logic circuits and Boolean neural networks with over a hundred rationally designed parts forms possibly the most dramatic demonstration of a systematic engineering approach to building molecular circuits 16,17 .”
Toehold Switches: De-Novo-Designed Regulators of Gene Expression (2014, neutral): “, 2010) and for complex in vitro information processing systems (Qian and Winfree, 2011; Qian et al., 2011; Yin et al., 2008).”
A fully programmable 100-spin coherent Ising machine with all-to-all connections (2016, neutral): “|0−phase〉 = C0|0〉+ C1|1〉+ C2|2〉+ C3|3〉+ · · · , (7)”
Universal computing by DNA origami robots in a living animal (2014, neutral): “After loading E robots with an antibody recognizing the insect’s hemocytes (the hemolymph cells analogous to human white blood cells), robot mixtures were tested on freshly isolated hemocytes and then injected into the living animals (Supplementary Notes 3 and 4).”
Biomolecular computing systems: principles, progress and potential (2012, methodology): “Early theoretical works on their molecular implementation 39,40 inspired quite different experimental systems, showcasing elements such as an ‘adder’ gate, whose output level is a sum of its inputs’ levels 41 .”