Feed-forward artificial neural network provides data-driven inference of functional connectivity-Reference-Cited by-同舟云学术

Feed-forward artificial neural network provides data-driven inference of functional connectivity

Published:2019-09 Issue:9 Volume:29 Page:091101
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Frolov Nikita¹^ORCID,Maksimenko Vladimir¹^ORCID,Lüttjohann Annika²^ORCID,Koronovskii Alexey³^ORCID,Hramov Alexander¹^ORCID

Affiliation:

1. Neuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Components, Innopolis University, 420500 Innopolis, The Republic of Tatarstan, Russia

2. Institute of Physiology I, University of Münster, Münster 48149, Germany

3. Faculty of Nonlinear Processes, Saratov State University, 410012 Saratov, Russia

Funder

Russian Science Foundation

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5117263

Reference38 articles.

1. Network neuroscience

2. Small-World Propensity and Weighted Brain Networks

3. Modular co-organization of functional connectivity and scale-free dynamics in the human brain

4. Normal and pathological oscillatory communication in the brain

5. Rhythms for Cognition: Communication through Coherence

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