Feature Selection Methods for Zero-Shot Learning of Neural Activity

Feature Selection Methods for Zero-Shot Learning of Neural Activity

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 related to typically limited sets of stimuli and sa...

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Bibliographic Details
Main Authors: Carlos A. Caceres, Matthew J. Roos, Kyle M. Rupp, Griffin Milsap, Nathan E. Crone, Michael E. Wolmetz, Christopher R. Ratto
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Neuroinformatics
Subjects:
zero-shot learning
transfer learning
semantics
fMRI
electrocorticography
feature selection
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00041/full

Internet

http://journal.frontiersin.org/article/10.3389/fninf.2017.00041/full

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