Does function fit structure? A ground truth for non-invasive neuroimaging
about
Using generative models to make probabilistic statements about hippocampal engagement in MEG.Reconstructing anatomy from electro-physiological data.Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control.
P2860
Does function fit structure? A ground truth for non-invasive neuroimaging
description
2014 nî lūn-bûn
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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2014年论文
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name
Does function fit structure? A ground truth for non-invasive neuroimaging
@en
type
label
Does function fit structure? A ground truth for non-invasive neuroimaging
@en
prefLabel
Does function fit structure? A ground truth for non-invasive neuroimaging
@en
P2093
P2860
P50
P1433
P1476
Does function fit structure? A ground truth for non-invasive neuroimaging
@en
P2093
Claire Stevenson
Jeremie Mattout
Luzia Troebinger
Peter Morris
P2860
P356
10.1016/J.NEUROIMAGE.2014.02.033
P407
P577
2014-03-14T00:00:00Z