Art
J-GLOBAL ID:202202216346667305   Reference number:22A1019461

Uncovering Cortical Units of Processing From Multi-Layered Connectomes

多層コネクトームからの処理の皮質単位の発見【JST・京大機械翻訳】
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Volume: 16  Page: 836259  Publication year: 2022 
JST Material Number: U7087A  ISSN: 1662-453X  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Modern diffusion and functiona...
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Central nervous system  ,  Brain and nervous system models 
Reference (86):
  • Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. (2006). A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 26, 63-72. doi: 10.1523/JNEUROSCI.3874-05.2006
  • Albers K. J., Ambrosen K. S., Liptrot M. G., Dyrby T. B., Schmidt M. N., Mørup M. (2021). Using connectomics for predictive assessment of brain parcellations. NeuroImage 238, 118170. doi: 10.1016/j.neuroimage.2021.118170
  • Albers K. J., Moth A. L. A., Mørup M., Schmidt M. N. (2013). Large scale inference in the infinite relational model: gibbs sampling is not enough, in 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 1-6. doi: 10.1109/MLSP.2013.6661904
  • Ambrosen K. S., Albers K. J., Dyrby T. B., Schmidt M. N., Morup M. (2014). Nonparametric bayesian clustering of structural whole brain connectivity in full image resolution, in 2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4. doi: 10.1109/PRNI.2014.6858507
  • Ambrosen K. S., Eskildsen S. F., Hinne M., Krug K., Lundell H., Schmidt M. N., et al. (2020). Validation of structural brain connectivity networks: the impact of scanning parameters. NeuroImage 204, 116207. doi: 10.1016/j.neuroimage.2019.116207
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