IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0125079.html
   My bibliography  Save this article

Effect of Noise in Intelligent Cellular Decision Making

Author

Listed:
  • Russell Bates
  • Oleg Blyuss
  • Ahmed Alsaedi
  • Alexey Zaikin

Abstract

Similar to intelligent multicellular neural networks controlling human brains, even single cells, surprisingly, are able to make intelligent decisions to classify several external stimuli or to associate them. This happens because of the fact that gene regulatory networks can perform as perceptrons, simple intelligent schemes known from studies on Artificial Intelligence. We study the role of genetic noise in intelligent decision making at the genetic level and show that noise can play a constructive role helping cells to make a proper decision. We show this using the example of a simple genetic classifier able to classify two external stimuli.

Suggested Citation

  • Russell Bates & Oleg Blyuss & Ahmed Alsaedi & Alexey Zaikin, 2015. "Effect of Noise in Intelligent Cellular Decision Making," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    • Handle: RePEc:plo:pone00:0125079
    DOI: 10.1371/journal.pone.0125079
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0125079
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0125079&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0125079?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lulu Qian & Erik Winfree & Jehoshua Bruck, 2011. "Neural network computation with DNA strand displacement cascades," Nature, Nature, vol. 475(7356), pages 368-372, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kanakov, Oleg & Chen, Shangbin & Zaikin, Alexey, 2024. "Learning by selective plasmid loss for intracellular synthetic classifiers," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Avik Samanta & Maximilian Hörner & Wei Liu & Wilfried Weber & Andreas Walther, 2022. "Signal-processing and adaptive prototissue formation in metabolic DNA protocells," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Linlin Yang & Qian Tang & Mingzhi Zhang & Yuan Tian & Xiaoxing Chen & Rui Xu & Qian Ma & Pei Guo & Chao Zhang & Da Han, 2024. "A spatially localized DNA linear classifier for cancer diagnosis," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Tai-Yin Chiu & Hui-Ju K Chiang & Ruei-Yang Huang & Jie-Hong R Jiang & François Fages, 2015. "Synthesizing Configurable Biochemical Implementation of Linear Systems from Their Transfer Function Specifications," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-27, September.
    4. Karen Zhang & Yuan-Jyue Chen & Delaney Wilde & Kathryn Doroschak & Karin Strauss & Luis Ceze & Georg Seelig & Jeff Nivala, 2022. "A nanopore interface for higher bandwidth DNA computing," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Ferdinand Greiss & Nicolas Lardon & Leonie Schütz & Yoav Barak & Shirley S. Daube & Elmar Weinhold & Vincent Noireaux & Roy Bar-Ziv, 2024. "A genetic circuit on a single DNA molecule as an autonomous dissipative nanodevice," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Kanakov, Oleg & Chen, Shangbin & Zaikin, Alexey, 2024. "Learning by selective plasmid loss for intracellular synthetic classifiers," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    7. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    8. Hong Kang & Yuexuan Yang & Bryan Wei, 2024. "Synthetic molecular switches driven by DNA-modifying enzymes," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    9. Ahmed A. Agiza & Kady Oakley & Jacob K. Rosenstein & Brenda M. Rubenstein & Eunsuk Kim & Marc Riedel & Sherief Reda, 2023. "Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    10. Jianbang Wang & Zhenzhen Li & Itamar Willner, 2022. "Cascaded dissipative DNAzyme-driven layered networks guide transient replication of coded-strands as gene models," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    11. Colangeli, Matteo & Rugiano, Francesco & Pasero, Eros, 2014. "Pattern recognition at different scales: A statistical perspective," Chaos, Solitons & Fractals, Elsevier, vol. 64(C), pages 48-66.
    12. Luna Rizik & Loai Danial & Mouna Habib & Ron Weiss & Ramez Daniel, 2022. "Synthetic neuromorphic computing in living cells," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0125079. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.