Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Tülay Adali"'
Autor:
Caroline Pires Alavez Moraes, Lucas Heck dos Santos, Denis Gustavo Fantinato, Aline Neves, Tülay Adali
Publikováno v:
Sensors, Vol 24, Iss 16, p 5428 (2024)
Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information. In the context of motor imager
Externí odkaz:
https://doaj.org/article/8f6866f59bac41f6a85b903b475f8167
Autor:
Yixin Ji, Rogers F. Silva, Tülay Adali, Xuyun Wen, Qi Zhu, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
Publikováno v:
NeuroImage: Clinical, Vol 43, Iss , Pp 103663- (2024)
Identifying biomarkers for computer-aided diagnosis (CAD) is crucial for early intervention of psychiatric disorders. Multi-site data have been utilized to increase the sample size and improve statistical power, while multi-modality classification of
Externí odkaz:
https://doaj.org/article/e7b7394e90fc45ae9bdcda19520c9a73
Autor:
Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince Calhoun, Tülay Adali
Publikováno v:
Sensors, Vol 23, Iss 11, p 5333 (2023)
Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the number of datasets that can be included i
Externí odkaz:
https://doaj.org/article/9b6086bcae314638b96c839f5aacfea7
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Analysis of time-evolving data is crucial to understand the functioning of dynamic systems such as the brain. For instance, analysis of functional magnetic resonance imaging (fMRI) data collected during a task may reveal spatial regions of interest,
Externí odkaz:
https://doaj.org/article/f980531379244bcaab9e1a89c51b533d
Publikováno v:
Sensors, Vol 23, Iss 6, p 3264 (2023)
The identification of homogeneous subgroups of patients with psychiatric disorders can play an important role in achieving personalized medicine and is essential to provide insights for understanding neuropsychological mechanisms of various mental di
Externí odkaz:
https://doaj.org/article/c7cdca3cc9b14376972f903bd985928a
Publikováno v:
Sensors, Vol 22, Iss 19, p 7417 (2022)
The hypothesis that the central nervous system (CNS) makes use of synergies or movement primitives in achieving simple to complex movements has inspired the investigation of different types of synergies. Kinematic and muscle synergies have been exten
Externí odkaz:
https://doaj.org/article/fab9d6c99e3149518ec5735a1dc012af
Publikováno v:
Sensors, Vol 22, Iss 14, p 5349 (2022)
Brain-machine interfaces (BMIs) have become increasingly popular in restoring the lost motor function in individuals with disabilities. Several research studies suggest that the CNS may employ synergies or movement primitives to reduce the complexity
Externí odkaz:
https://doaj.org/article/901896a11d39408eb395b0a77a139fe8
Publikováno v:
Sensors, Vol 22, Iss 11, p 4177 (2022)
Hand prehension requires highly coordinated control of contact forces. The high-dimensional sensorimotor system of the human hand operates at ease, but poses several challenges when replicated in artificial hands. This paper investigates how the dyna
Externí odkaz:
https://doaj.org/article/951a695b7ad64624adca0087c76aed70
Publikováno v:
Sensors, Vol 22, Iss 3, p 1224 (2022)
It is becoming increasingly common to collect multiple related neuroimaging datasets either from different modalities or from different tasks and conditions. In addition, we have non-imaging data such as cognitive or behavioral variables, and it is t
Externí odkaz:
https://doaj.org/article/8ae6e9877c914bf89263a13fb3c67b90
Publikováno v:
NeuroImage, Vol 216, Iss , Pp 116872- (2020)
The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations. A number of subspace analysis algorithms have bee
Externí odkaz:
https://doaj.org/article/904319574b0a4b04b7f3733ca8de84fa