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pro vyhledávání: '"Kyle M. Rupp"'
Autor:
Carlos A. Caceres, Matthew J. Roos, Kyle M. Rupp, Griffin Milsap, Nathan E. Crone, Michael E. Wolmetz, Christopher R. Ratto
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
Dimensionality poses a serious challenge when making predictions from human neuroimaging data. Across imaging modalities, large pools of potential neural features (e.g., responses from particular voxels, electrodes, and temporal windows) have to be r
Externí odkaz:
https://doaj.org/article/44cd86fcba174b11bf0131bf68ca1356
Autor:
Mark A. Chevillet, Nathan E. Crone, Matthew J. Roos, Michael Wolmetz, Kyle M. Rupp, Griffin Milsap, Christopher R. Ratto, Carlos A. Caceres
Publikováno v:
NeuroImage. 148:318-329
Non-invasive neuroimaging studies have shown that semantic category and attribute information are encoded in neural population activity. Electrocorticography (ECoG) offers several advantages over non-invasive approaches, but the degree to which seman
Autor:
Matthew J. Roos, Christopher R. Ratto, Carlos A. Caceres, Michael Wolmetz, Kyle M. Rupp, Griffin Milsap, Nathan E. Crone
Publikováno v:
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 11 (2017)
Frontiers in Neuroinformatics, Vol 11 (2017)
Dimensionality is a serious challenge in human neuroimaging. Across imaging modalities, large pools of potential neural features (e.g. responses from particular voxels, electrodes, and temporal windows) have to be related to typically limited sets of
Publikováno v:
EMBC
The technology underlying brain computer interfaces has recently undergone rapid development, though a variety of issues remain that are currently preventing it from becoming a viable clinical assistive tool. Though decoding of motor output has been