Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
about
Contributions of local speech encoding and functional connectivity to audio-visual speech perception.A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula.Auditory cortical delta-entrainment interacts with oscillatory power in multiple fronto-parietal networks.The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres.Accuracy of Rats in Discriminating Visual Objects Is Explained by the Complexity of Their Perceptual Strategy.Representational interactions during audiovisual speech entrainment: Redundancy in left posterior superior temporal gyrus and synergy in left motor cortexA Tutorial for Information Theory in Neuroscience
P2860
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P2860
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
description
2015 nî lūn-bûn
@nan
2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
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2015年論文
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2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@en
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@nl
type
label
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@en
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@nl
prefLabel
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@en
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
@nl
P2860
P50
P356
P1433
P1476
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network
@en
P2093
Philippe G Schyns
Robin A A Ince
P2860
P2888
P356
10.1038/SREP17681
P407
P577
2015-12-04T00:00:00Z