Bates Russell, Blyuss Oleg, Zaikin Alexey
Department of Mathematics, University College London, United Kingdom.
Institute for Women's Health, University College London, United Kingdom.
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Mar;89(3):032716. doi: 10.1103/PhysRevE.89.032716. Epub 2014 Mar 26.
Intracellular genetic networks are more intelligent than was first assumed due to their ability to learn. One of the manifestations of this intelligence is the ability to learn associations of two stimuli within gene-regulating circuitry: Hebbian-type learning within the cellular life. However, gene expression is an intrinsically noisy process; hence, we investigate the effect of intrinsic and extrinsic noise on this kind of intracellular intelligence. We report a stochastic resonance in an intracellular associative genetic perceptron, a noise-induced phenomenon, which manifests itself in noise-induced increase of response in efficiency after the learning event under the conditions of optimal stochasticity.
由于具有学习能力，细胞内遗传网络比最初设想的更为智能。这种智能的一种表现是能够在基因调控电路中学习两种刺激之间的关联：细胞生命中的赫布型学习。然而，基因表达是一个本质上有噪声的过程；因此，我们研究内在和外在噪声对这种细胞内智能的影响。我们报告了细胞内关联遗传感知器中的随机共振，这是一种噪声诱导现象，在最佳随机性条件下，它表现为学习事件后噪声诱导的响应效率增加。
