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163 related items for PubMed ID: 36909647
1. Bayesian Inference of a Spectral Graph Model for Brain Oscillations. Jin H, Verma P, Jiang F, Nagarajan S, Raj A. bioRxiv; 2023 Mar 11. PubMed ID: 36909647 [Abstract] [Full Text] [Related]
2. Bayesian inference of a spectral graph model for brain oscillations. Jin H, Verma P, Jiang F, Nagarajan SS, Raj A. Neuroimage; 2023 Oct 01; 279():120278. PubMed ID: 37516373 [Abstract] [Full Text] [Related]
3. Spectral graph model for fMRI: a biophysical, connectivity-based generative model for the analysis of frequency-resolved resting state fMRI. Raj A, Sipes BS, Verma P, Mathalon DH, Biswal B, Nagarajan S. bioRxiv; 2024 Mar 27. PubMed ID: 38586057 [Abstract] [Full Text] [Related]
5. Stability and dynamics of a spectral graph model of brain oscillations. Verma P, Nagarajan S, Raj A. Netw Neurosci; 2023 Sep 27; 7(1):48-72. PubMed ID: 37334000 [Abstract] [Full Text] [Related]
6. Bayesian parameter inference and model selection by population annealing in systems biology. Murakami Y. PLoS One; 2014 Sep 27; 9(8):e104057. PubMed ID: 25089832 [Abstract] [Full Text] [Related]
7. Spectral graph theory of brain oscillations--Revisited and improved. Verma P, Nagarajan S, Raj A. Neuroimage; 2022 Apr 01; 249():118919. PubMed ID: 35051584 [Abstract] [Full Text] [Related]
8. Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. Tolley N, Rodrigues PLC, Gramfort A, Jones S. bioRxiv; 2023 Apr 17. PubMed ID: 37131818 [Abstract] [Full Text] [Related]
9. Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. Tolley N, Rodrigues PLC, Gramfort A, Jones SR. PLoS Comput Biol; 2024 Feb 17; 20(2):e1011108. PubMed ID: 38408099 [Abstract] [Full Text] [Related]
11. Flexible and efficient simulation-based inference for models of decision-making. Boelts J, Lueckmann JM, Gao R, Macke JH. Elife; 2022 Jul 27; 11():. PubMed ID: 35894305 [Abstract] [Full Text] [Related]
12. Simulation-based Inference of Developmental EEG Maturation with the Spectral Graph Model. Bernardo D, Xie X, Verma P, Kim J, Liu V, Numis AL, Wu Y, Glass HC, Yap PT, Nagarajan SS, Raj A. ArXiv; 2024 Jul 26. PubMed ID: 39040639 [Abstract] [Full Text] [Related]
13. Bayesian inference for generalized linear models for spiking neurons. Gerwinn S, Macke JH, Bethge M. Front Comput Neurosci; 2010 Jul 26; 4():12. PubMed ID: 20577627 [Abstract] [Full Text] [Related]
14. A Hierarchical Bayesian Model for Differential Connectivity in Multi-trial Brain Signals. Hu L, Guindani M, Fortin NJ, Ombao H. Econom Stat; 2020 Jul 26; 15():117-135. PubMed ID: 33163735 [Abstract] [Full Text] [Related]
15. SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy. Migliorelli C, Bachiller A, Alonso JF, Romero S, Aparicio J, Jacobs-Le Van J, Mañanas MA, San Antonio-Arce V. J Neural Eng; 2020 Apr 22; 17(2):026032. PubMed ID: 32213672 [Abstract] [Full Text] [Related]
19. What graph theory actually tells us about resting state interictal MEG epileptic activity. Niso G, Carrasco S, Gudín M, Maestú F, Del-Pozo F, Pereda E. Neuroimage Clin; 2015 Feb 15; 8():503-15. PubMed ID: 26106575 [Abstract] [Full Text] [Related]
20. Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis. Riazi AH, Rabbani H, Kafieh R. Diagnostics (Basel); 2022 Sep 19; 12(9):. PubMed ID: 36140663 [Abstract] [Full Text] [Related] Page: [Next] [New Search]