Inference in the age of big data: Future perspectives on neuroscience.
about
Deconstructing multivariate decoding for the study of brain function.Classical Statistics and Statistical Learning in Imaging Neuroscience.[Big data approaches in psychiatry: examples in depression research].High-dimensional therapeutic inference in the focally damaged human brain.The hippocampal network model: A transdiagnostic metaconnectomic approach.The independent influences of age and education on functional brain networks and cognition in healthy older adults.Neuroimaging meta-analysis of cannabis use studies reveals convergent functional alterations in brain regions supporting cognitive control and reward processing.Prediction complements explanation in understanding the developing brain.Lost in translationPatterns of schizophrenia symptoms: hidden structure in the PANSS questionnaire
P2860
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P2860
Inference in the age of big data: Future perspectives on neuroscience.
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2017 nî lūn-bûn
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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
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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
Inference in the age of big data: Future perspectives on neuroscience.
@ast
Inference in the age of big data: Future perspectives on neuroscience.
@en
type
label
Inference in the age of big data: Future perspectives on neuroscience.
@ast
Inference in the age of big data: Future perspectives on neuroscience.
@en
prefLabel
Inference in the age of big data: Future perspectives on neuroscience.
@ast
Inference in the age of big data: Future perspectives on neuroscience.
@en
P1433
P1476
Inference in the age of big data: Future perspectives on neuroscience.
@en
P2093
B T Thomas Yeo
P304
P356
10.1016/J.NEUROIMAGE.2017.04.061
P407
P50
P577
2017-04-26T00:00:00Z