Noise-induced artificial intelligence

Alex Zhao, Anastasia Ermolaeva, Ekkehard Ullner, Juergen Kurths, Susanna Gordleeva, Alexey Zaikin* (Corresponding Author)

*Corresponding author for this work

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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.
Original languageEnglish
Article number043069
Number of pages6
JournalPhysical Review Research
Issue number4
Early online date31 Oct 2022
Publication statusPublished - 31 Oct 2022

Bibliographical note

The study was supported by Medical Research Council Grant No. MR/R02524X/1. A.E., S.G., and A.Z. thank the Russian Science Foundation under Grant No. 22-12-00216. The work of A.E. was supported by RFBR according to Research Project No. 20-32-90151.


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