Deconstructing multivariate decoding for the study of brain function.
about
The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods.The representational dynamics of task and object processing in humans.Agent-specific learning signals for self-other distinction during mentalising.Action Observation Areas Represent Intentions From Subtle Kinematic Features.Estimating the functional dimensionality of neural representationsMultivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testingDifferentiation of Types of Visual Agnosia Using EEG
P2860
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P2860
Deconstructing multivariate decoding for the study of brain function.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Deconstructing multivariate decoding for the study of brain function.
@en
type
label
Deconstructing multivariate decoding for the study of brain function.
@en
prefLabel
Deconstructing multivariate decoding for the study of brain function.
@en
P2860
P1433
P1476
Deconstructing multivariate decoding for the study of brain function.
@en
P2093
Martin N Hebart
P2860
P356
10.1016/J.NEUROIMAGE.2017.08.005
P407
P577
2017-08-04T00:00:00Z