Effect of noise in intelligent cellular decision making.
Where this comes from
- Record sourced from PubMed, PMID 25965584.
- Also identified by DOI 10.1371/journal.pone.0125079 and PMC identifier 4429125.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Algorithms
- Artificial Intelligence