独立成分分析によるＯｐｔｉｃａｌ　Ｉｍａｇｉｎｇ　Ｄａｔａからの神経活動分離

• 高橋 晋

  慶應義塾大学理工学部

• 小林 祐喜

  玉川大学工学部

• 相原 威

  玉川大学工学部

• 塚田 稔

  玉川大学工学部

• 安西 祐一郎

  慶應義塾大学理工学部

書誌事項

タイトル別名

• Blind Separation of Neuronal Activities from Optical Imaging Data

抄録

The optical imaging method is one of the most useful techniques to investigate dynamic neuronal activities of the brain. Available forms of the method, however, require averaging of the optical records tens of times. A new version presented here has been developed by application of the Independent Component Analysis (ICA), and it is devised to circumvent the time-consuming averaging process. As a preliminary work, parameters associated with ICA were determined on the basis of a computer simulation involving membrane potentials and noise signals. The method was then applied to the optical data obtained from hippocampal slices. The neuronal activities extracted by the present technique are in good agreement with the results produced by conventional technique that needs extensive averaging.

収録刊行物

• 日本神経回路学会誌

  日本神経回路学会誌 8 (1), 3-12, 2001

  日本神経回路学会

詳細情報

• CRID: 1390282679441325696
• NII論文ID: 10010424425
• NII書誌ID: AA11658570
• DOI: 10.3902/jnns.8.3
• ISSN: 18830455
• ISSN: 1340766X
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可