HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks [PDF]
arXivIdentifying unusual brain activity is a crucial task in neuroscience research, as it aids in the early detection of brain disorders. It is common to represent brain networks as graphs, and researchers have developed various graph-based machine learning methods for analyzing them. However, the majority of existing graph learning tools for the brain face
arxiv
Time-dependence of the effect of X-irradiation on the formation of glycerol phosphate dehydrogenase and other dehydrogenases in the developing rat brain [PDF]
, 1968 Jean de Vellis, O.A. Schjeide
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Brain decoding from functional MRI using long short-term memory recurrent neural networks [PDF]
arXiv, 2018 Decoding brain functional states underlying different cognitive processes using multivariate pattern recognition techniques has attracted increasing interests in brain imaging studies. Promising performance has been achieved using brain functional connectivity or brain activation signatures for a variety of brain decoding tasks.
arxiv
Individual brain parcellation: Review of methods, validations and applications [PDF]
arXivIndividual brains vary greatly in morphology, connectivity and organization. The applicability of group-level parcellations is limited by the rapid development of precision medicine today because they do not take into account the variation of parcels at the individual level.
arxiv
Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses [PDF]
arXiv, 2016 Understanding the human brain remains the Holy Grail in biomedical science, and arguably in all of the sciences. Our brains represent the most complex systems in the world (and some contend the universe) comprising nearly one hundred billion neurons with septillions of possible connections between them.
arxiv
Effect of Temperature on Fatty Acid Metabolism in Dissociated Cell Cultures of Developing Brain [PDF]
, 1974 Ephraïm Yavin, John H. Menkes
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THE IMPORTANCE OF LEUCINE OXIDATION IN ADULT AND DEVELOPING BRAIN [PDF]
, 1974 Edward R. Chaplin +2 more
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Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification [PDF]
arXiv, 2016 Brain decoding is a popular multivariate approach for hypothesis testing in neuroimaging. It is well known that the brain maps derived from weights of linear classifiers are hard to interpret because of high correlations between predictors, low signal to noise ratios, and the high dimensionality of neuroimaging data.
arxiv
Some Effects of Postnatal Zinc Deficiency on Developing Rat Brain [PDF]
, 1975 Gary J. Fosmire +2 more
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Intrauterine Asphyxia and the Developing Fetal Brain [PDF]
, 1978 Louis Gluck
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