Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis.
about
Deconstructing multivariate decoding for the study of brain function.Preferential encoding of movement amplitude and speed in the primary motor cortex and cerebellum.The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods.Cognitive task information is transferred between brain regions via resting-state network topology.Human white matter and knowledge representation.Towards an unconscious neural reinforcement intervention for common fears.Estimating the functional dimensionality of neural representations
P2860
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P2860
Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis.
description
2017 nî lūn-bûn
@nan
2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
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2017年學術文章
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2017年學術文章
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name
Representational models: A com ...... ntational-similarity analysis.
@ast
Representational models: A com ...... ntational-similarity analysis.
@en
type
label
Representational models: A com ...... ntational-similarity analysis.
@ast
Representational models: A com ...... ntational-similarity analysis.
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Representational models: A com ...... ntational-similarity analysis.
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Representational models: A com ...... ntational-similarity analysis.
@en
P2860
P1476
Representational models: A com ...... ntational-similarity analysis.
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1005508
P577
2017-04-24T00:00:00Z