Inference of functional dependence in coupled chaotic systems using feed-forward neural network

Nikita S. Frolov; Vladimir V. Makarov

doi:10.1117/12.2563980

9 April 2020 Inference of functional dependence in coupled chaotic systems using feed-forward neural network

Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590X (2020) https://doi.org/10.1117/12.2563980
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

We propose a new model-free method based on feed-forward artificial neuronal network for detecting functional connectivity in coupled systems. The developed method which does not require large computational costs and which is able to work with short data trials can be used for analysis and restoration of connectivity in experimental multichannel data of different nature. We test this approach on the chaotic Rössler system and demonstrate good agreement with the previous well-know results.

Citation Download Citation

Nikita S. Frolov and Vladimir V. Makarov "Inference of functional dependence in coupled chaotic systems using feed-forward neural network", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590X (9 April 2020); https://doi.org/10.1117/12.2563980

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