164 related articles for article (PubMed ID: 35247547)
1. Detecting changes in dynamical structures in synchronous neural oscillations using probabilistic inference.
Yokoyama H; Kitajo K
Neuroimage; 2022 May; 252():119052. PubMed ID: 35247547
[TBL] [Abstract][Full Text] [Related]
2. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience.
Fengler A; Govindarajan LN; Chen T; Frank MJ
Elife; 2021 Apr; 10():. PubMed ID: 33821788
[TBL] [Abstract][Full Text] [Related]
3. Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators.
Hashemi M; Vattikonda AN; Jha J; Sip V; Woodman MM; Bartolomei F; Jirsa VK
Neural Netw; 2023 Jun; 163():178-194. PubMed ID: 37060871
[TBL] [Abstract][Full Text] [Related]
4. Systematic Bayesian posterior analysis guided by Kullback-Leibler divergence facilitates hypothesis formation.
Huber HA; Georgia SK; Finley SD
J Theor Biol; 2023 Feb; 558():111341. PubMed ID: 36335999
[TBL] [Abstract][Full Text] [Related]
5. Computation of Kullback-Leibler Divergence in Bayesian Networks.
Moral S; Cano A; Gómez-Olmedo M
Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573747
[TBL] [Abstract][Full Text] [Related]
6. P3-like signatures of temporal predictions: a computational EEG study.
Visalli A; Capizzi M; Ambrosini E; Kopp B; Vallesi A
Exp Brain Res; 2023 Jul; 241(7):1919-1930. PubMed ID: 37354350
[TBL] [Abstract][Full Text] [Related]
7. A dynamical systems approach for estimating phase interactions between rhythms of different frequencies from experimental data.
Onojima T; Goto T; Mizuhara H; Aoyagi T
PLoS Comput Biol; 2018 Jan; 14(1):e1005928. PubMed ID: 29337999
[TBL] [Abstract][Full Text] [Related]
8. Bayesian fusion and multimodal DCM for EEG and fMRI.
Wei H; Jafarian A; Zeidman P; Litvak V; Razi A; Hu D; Friston KJ
Neuroimage; 2020 May; 211():116595. PubMed ID: 32027965
[TBL] [Abstract][Full Text] [Related]
9. The global dynamical complexity of the human brain network.
Arsiwalla XD; Verschure PFMJ
Appl Netw Sci; 2016; 1(1):16. PubMed ID: 30533508
[TBL] [Abstract][Full Text] [Related]
10. Robust Bayesian Estimation of EEG-Based Brain Causality Networks.
Liu K; Lai Q; Li P; Yu Z; Xiao B; Guan C; Wu W
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1879-1890. PubMed ID: 37015386
[TBL] [Abstract][Full Text] [Related]
11. Variational approximation error in non-negative matrix factorization.
Hayashi N
Neural Netw; 2020 Jun; 126():65-75. PubMed ID: 32200211
[TBL] [Abstract][Full Text] [Related]
12. Statistical foundation of Variational Bayes neural networks.
Bhattacharya S; Maiti T
Neural Netw; 2021 May; 137():151-173. PubMed ID: 33607444
[TBL] [Abstract][Full Text] [Related]
13. Likelihood-based parameter estimation and comparison of dynamical cognitive models.
Schütt HH; Rothkegel LOM; Trukenbrod HA; Reich S; Wichmann FA; Engbert R
Psychol Rev; 2017 Jul; 124(4):505-524. PubMed ID: 28447811
[TBL] [Abstract][Full Text] [Related]
14. Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior.
Dumitru M; Mohammad-Djafari A; Sain SB
EURASIP J Bioinform Syst Biol; 2016 Dec; 2016(1):3. PubMed ID: 26834783
[TBL] [Abstract][Full Text] [Related]
15. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
Pezard L; Nandrino JL
Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
[TBL] [Abstract][Full Text] [Related]
16. Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection.
Williams DR; Rast P; Pericchi LR; Mulder J
Psychol Methods; 2020 Oct; 25(5):653-672. PubMed ID: 32077709
[TBL] [Abstract][Full Text] [Related]
17. Dynamical Bayesian inference of time-evolving interactions: from a pair of coupled oscillators to networks of oscillators.
Duggento A; Stankovski T; McClintock PV; Stefanovska A
Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Dec; 86(6 Pt 1):061126. PubMed ID: 23367912
[TBL] [Abstract][Full Text] [Related]
18. Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI.
Koppe G; Toutounji H; Kirsch P; Lis S; Durstewitz D
PLoS Comput Biol; 2019 Aug; 15(8):e1007263. PubMed ID: 31433810
[TBL] [Abstract][Full Text] [Related]
19. Inference of intrinsic spiking irregularity based on the Kullback-Leibler information.
Koyama S; Shinomoto S
Biosystems; 2007; 89(1-3):69-73. PubMed ID: 17321039
[TBL] [Abstract][Full Text] [Related]
20. Principles of Bayesian Inference Using General Divergence Criteria.
Jewson J; Smith JQ; Holmes C
Entropy (Basel); 2018 Jun; 20(6):. PubMed ID: 33265532
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]