Comparative Analysis of Methods for Calculating the Interactions Between the Human Brain Regions Based on Resting-State FMRI Data to Build Long-Term Cognitive Architectures-Reference-Cited by-同舟云学术

Comparative Analysis of Methods for Calculating the Interactions Between the Human Brain Regions Based on Resting-State FMRI Data to Build Long-Term Cognitive Architectures

Published:2020-12-09 Issue: Volume: Page:380-390
ISSN:2194-5357
Container-title:Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
language:
Short-container-title:

Author:

Poyda Alexey,Sharaev Maksim,Orlov Vyacheslav,Kozlov Stanislav,Enyagina Irina,Ushakov Vadim

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-65596-9_46

Reference17 articles.

1. Pereda, E., Quiroga, R.Q., Bhattacharya, J.: Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1–37 (2005). https://doi.org/10.1016/j.pneurobio.2005.10.003

2. Sharaev, M., Ushakov, V., Velichkovsky, B.: Causal interactions within the default mode network as revealed by low-frequency brain fluctuations and information transfer entropy. In: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. Advances in Intelligent Systems and Computing, Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016), pp. 213–218 (2016). https://doi.org/10.1007/978-3-319-32554-5_27

3. Rodgers, J.L., Nicewander, W.A.: Thirteen ways to look at the correlation coefficient. Am. Stat. 42, 59–66 (1988). https://doi.org/10.2307/2685263

4. Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econom. J. Econom. Soc. 37, 424–438 (1969). https://doi.org/10.2307/1912791

5. Schreiber, T.: Measuring information transfer. Phys. Rev. Lett. 85, 461–464 (2000). https://doi.org/10.1103/PhysRevLett.85.461

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Analysis of the DMN Network of the Brain Using the Method of Segmentation of Functionally Homogeneous Regions;Studies in Computational Intelligence;2024

2. Implementing Methods for Calculating the Functional Connectivity of Regions of the Human Brain at Rest and Neuroimaging Using Data of Functional Nuclear Magnetic Resonance Imaging (fMRI);Physics of Particles and Nuclei Letters;2021-07