198 related articles for article (PubMed ID: 31945978)
1. Estimation of brain connectivity through Artificial Neural Networks.
Antonacci Y; Toppi J; Mattia D; Pietrabissa A; Astolfi L
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():636-639. PubMed ID: 31945978
[TBL] [Abstract][Full Text] [Related]
2. Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators.
Antonacci Y; Minati L; Faes L; Pernice R; Nollo G; Toppi J; Pietrabissa A; Astolfi L
PeerJ Comput Sci; 2021; 7():e429. PubMed ID: 34084917
[TBL] [Abstract][Full Text] [Related]
3. Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.
Antonacci Y; Toppi J; Mattia D; Pietrabissa A; Astolfi L
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6422-6425. PubMed ID: 31947312
[TBL] [Abstract][Full Text] [Related]
4. L1-norm based time-varying brain neural network and its application to dynamic analysis for motor imagery.
Li P; Li C; Bore JC; Si Y; Li F; Cao Z; Zhang Y; Wang G; Zhang Z; Yao D; Xu P
J Neural Eng; 2022 Mar; 19(2):. PubMed ID: 35234668
[No Abstract] [Full Text] [Related]
5. Brain Connectivity Estimation Pitfall in Multiple Trials of Electroencephalography Data.
Mehdizadehfar V; Ghassemi F; Fallah A
Basic Clin Neurosci; 2023; 14(4):519-528. PubMed ID: 38050573
[TBL] [Abstract][Full Text] [Related]
6. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
[TBL] [Abstract][Full Text] [Related]
7. Exploring directed functional connectivity based on electroencephalography source signals using a global cortex factor-based multivariate autoregressive model.
Wang H; Wu X; Wen X; Lei X; Gao Y; Yao L
J Neurosci Methods; 2019 Apr; 318():6-16. PubMed ID: 30817942
[TBL] [Abstract][Full Text] [Related]
8. Rethinking the performance comparison between SNNS and ANNS.
Deng L; Wu Y; Hu X; Liang L; Ding Y; Li G; Zhao G; Li P; Xie Y
Neural Netw; 2020 Jan; 121():294-307. PubMed ID: 31586857
[TBL] [Abstract][Full Text] [Related]
9. Improving Lightweight AdderNet via Distillation From ℓ
Dong M; Chen X; Wang Y; Xu C
IEEE Trans Image Process; 2023; 32():5524-5536. PubMed ID: 37773908
[TBL] [Abstract][Full Text] [Related]
10. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.
Astolfi L; Cincotti F; Mattia D; Salinari S; Babiloni C; Basilisco A; Rossini PM; Ding L; Ni Y; He B; Marciani MG; Babiloni F
Magn Reson Imaging; 2004 Dec; 22(10):1457-70. PubMed ID: 15707795
[TBL] [Abstract][Full Text] [Related]
11. State-space multivariate autoregressive models for estimation of cortical connectivity from EEG.
Cheung BL; Riedner B; Tononi G; Van Veen BD
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():61-4. PubMed ID: 19965114
[TBL] [Abstract][Full Text] [Related]
12. Weighted SGD for ℓ
Yang J; Chow YL; Ré C; Mahoney MW
Proc Annu ACM SIAM Symp Discret Algorithms; 2016 Jan; 2016():558-569. PubMed ID: 29782626
[TBL] [Abstract][Full Text] [Related]
13. A new algorithm for neural connectivity estimation of EEG event related potentials.
Rodrigues PL; Baccalá LA
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3787-90. PubMed ID: 26737118
[TBL] [Abstract][Full Text] [Related]
14. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.
Agatonovic-Kustrin S; Beresford R
J Pharm Biomed Anal; 2000 Jun; 22(5):717-27. PubMed ID: 10815714
[TBL] [Abstract][Full Text] [Related]
15. Estimating brain connectivity when few data points are available: Perspectives and limitations.
Antonacci Y; Toppi J; Caschera S; Anzolin A; Mattia D; Astolfi L
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():4351-4354. PubMed ID: 29060860
[TBL] [Abstract][Full Text] [Related]
16. Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.
Erguzel TT; Noyan CO; Eryilmaz G; Ünsalver BÖ; Cebi M; Tas C; Dilbaz N; Tarhan N
Clin EEG Neurosci; 2019 Sep; 50(5):303-310. PubMed ID: 30642219
[TBL] [Abstract][Full Text] [Related]
17. Bypassing the volume conduction effect by multilayer neural network for effective connectivity estimation.
Talebi N; Nasrabadi AM; Mohammad-Rezazadeh I
Med Biol Eng Comput; 2019 Sep; 57(9):1947-1959. PubMed ID: 31273576
[TBL] [Abstract][Full Text] [Related]
18. High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors.
Nagle A; Gerrelts JP; Krause BM; Boes AD; Bruss JE; Nourski KV; Banks MI; Van Veen B
Neuroimage; 2023 Aug; 277():120211. PubMed ID: 37385393
[TBL] [Abstract][Full Text] [Related]
19. Variable three-term conjugate gradient method for training artificial neural networks.
Kim H; Wang C; Byun H; Hu W; Kim S; Jiao Q; Lee TH
Neural Netw; 2023 Feb; 159():125-136. PubMed ID: 36565690
[TBL] [Abstract][Full Text] [Related]
20. Efficient ℓ
Li X; Xie S; Zeng D; Wang Y
Stat Med; 2018 Feb; 37(3):473-486. PubMed ID: 29082539
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
