Noise-induced artificial intelligence

Alex Zhao; Anastasia Ermolaeva; Ekkehard Ullner; Juergen Kurths; Susanna Gordleeva; Alexey Zaikin

doi:10.1103/physrevresearch.4.043069

Noise-induced artificial intelligence

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	043069
Number of pages	6
Journal	Physical Review Research
Volume	4
Issue number	4
Early online date	31 Oct 2022
DOIs	https://doi.org/10.1103/physrevresearch.4.043069
Publication status	Published - 31 Oct 2022

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Cite this

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title = "Noise-induced artificial intelligence",

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{\textquoteright}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.",

author = "Alex Zhao and Anastasia Ermolaeva and Ekkehard Ullner and Juergen Kurths and Susanna Gordleeva and Alexey Zaikin",

note = "ACKNOWLEDGMENTS 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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doi = "10.1103/physrevresearch.4.043069",

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AU - Zhao, Alex

AU - Ermolaeva, Anastasia

AU - Ullner, Ekkehard

AU - Kurths, Juergen

AU - Gordleeva, Susanna

AU - Zaikin, Alexey

N1 - ACKNOWLEDGMENTS 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.

PY - 2022/10/31

Y1 - 2022/10/31

N2 - 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.

AB - 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.

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JO - Physical Review Research

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Noise-induced artificial intelligence

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