Predicting human cortical connectivity for language areas using the Conel database

Ryuta Fukuda, Junko Hara, William R. Shankle, Toshio Inui, Masaru Tomita

研究成果: Paper査読

抄録

Connectivity between language-related Brodmann areas derived from analyses of data source provided by J. L. Conel has been proposed. The analysis consisted of computing the correlation coefficients between each layer of one cortical area to each layer of another cortical area over the 8 age points. A `connection' was created between two layers of two cortical areas if: 1) its z-score have significance level less than 20%; and 2) the two layers began myelinating at the same age point. Predicted connections are consistent with neural network models derived neuroimaging, psychological tests, and also support some seemingly unusual findings reported by others.

本文言語English
ページ293-295
ページ数3
出版ステータスPublished - 1999
イベントInternational Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA
継続期間: 1999 7月 101999 7月 16

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'99)
CityWashington, DC, USA
Period99/7/1099/7/16

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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