• Open Access

Noise-induced artificial intelligence

Alex Zhao, Anastasia Ermolaeva, Ekkehard Ullner, Juergen Kurths, Susanna Gordleeva, and Alexey Zaikin
Phys. Rev. Research 4, 043069 – Published 31 October 2022

Abstract

We show that unavoidable stochastic fluctuations are not only affecting information processing in a destructive or constructive way, but may even induce conditions necessary for the artificial intelligence itself. In this proof-of-principle paper we consider a model of a neuron-astrocyte network under the influence of multiplicative noise and show that information encoding (loading, storage, and retrieval of information patterns), one of the paradigmatic signatures of intelligent systems, can be induced by stochastic influence and astrocytes. Hence, astrocytes, recently proved to play an important role in memory and cognitive processing in mammalian brains, may play also an important role in the generation of a system's features providing artificial intelligence functions. Hence, one could conclude that intrinsic stochasticity is probably positively utilized by brains, not only to optimize the signal response but also to induce intelligence itself, and one of the key roles, played by astrocytes in information processing, could be dealing with noises.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 14 December 2021
  • Accepted 22 August 2022

DOI:https://doi.org/10.1103/PhysRevResearch.4.043069

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Nonlinear Dynamics

Authors & Affiliations

Alex Zhao1,*, Anastasia Ermolaeva2,*, Ekkehard Ullner3, Juergen Kurths4,5, Susanna Gordleeva2,6,7, and Alexey Zaikin1,2,5,8,†

  • 1Department of Mathematics, University College London, London WC1E 6BT, United Kingdom
  • 2Department of Neurotechnology, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
  • 3Institute for Complex Systems and Mathematical Biology, Institute for Pure and Applied Mathematics, and Department of Physics (SUPA), University of Aberdeen, Aberdeen AB24 3UE, United Kingdom
  • 4Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam D-14415, Germany
  • 5World-Class Research Center Digital Biodesign and Personalized Healthcare, Sechenov First Moscow State Medical University, Moscow 119991, Russia
  • 6Neuroscience Research Institute of Samara State Medical University, Samara 443099, Russia
  • 7Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, Innopolis 420500, Russia
  • 8Institute for Women's Health, University College London, London WC1E 6BT, United Kingdom

  • *These authors contributed equally to this work.
  • alexey.zaikin@ucl.ac.uk

Article Text

Click to Expand

References

Click to Expand
Issue

Vol. 4, Iss. 4 — October - December 2022

Subject Areas
Reuse & Permissions
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Research

Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

×

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×