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Neural networks consisting of DNA

arXiv 2501.03235 ↗First posted 12 Dec 2024physics.bio-ph cond-mat.soft cs.AIcited by 0

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Abstract (arXiv)

Neural networks based on soft and biological matter constitute an interesting potential alternative to traditional implementations based on electric circuits. DNA is a particularly promising system in this context due its natural ability to store information. In recent years, researchers have started to construct neural networks that are based on DNA. In this chapter, I provide a very basic introduction to the concept of DNA neural networks, aiming at an audience that is not familiar with biochemistry.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 34 references that are in the map. First posted on arXiv 12 Dec 2024.

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References · 3

  1. 2013DNA Reservoir Computing: A Novel Molecular Computing Approachcited by 7
  2. 2022Pattern recognition in the nucleation kinetics of non-equilibrium self-assemblycited by 4
  3. 2023Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approachcited by 3

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