NMFによるcIPS野における立体的特徴認識のモデル化 Modeling recognition of three-dimensional features in cIPS cortex by NMF

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Non-negative matrix factorization (NMF) is a technique which learns non-negative bases from many non-negative inputs such that they can be approximated by multiplication of the bases and non-negative weights. Lee and Seiing applied NMF to facial images and showed that the basis images represented parts of faces like eyes, noses, and mouths. Also, Tsunoda and others measured responses of neurons of monkeys which saw various objects and showed that neurons of inferotemporal (IT) cortex responsed selectively to parts of objects. From these it is suggested that computation similar to NMF may be used in IT cortex. Considering the uniformity of the circuit of the cerebral cortex, it is possible that other areas may use the same information processing princple. Shikata and others showed that neurons in cIPS cortex responsed selectively to three-dimensional orientations of objects. In this paper, I hypothesize that 3D feature recognition in cIPS is also done by NMF and validate it by the following simulation. I used images of which pixels have distance information as a model of signals from V1/MT cortex that gives projections to cIPS cortex and I applied NMF to these images. I used the datasets from Middlebury benchmark and some images which are generated by a stereo matching algorithm as input images. I will compare the result with response properties of cIPS neurons and discuss the possibility that cIPS performs computation similar to NMF.

収録刊行物

  • 電子情報通信学会技術研究報告. NC, ニューロコンピューティング   [巻号一覧]

    電子情報通信学会技術研究報告. NC, ニューロコンピューティング 109(461), 77-82, 2010-03-02  [この号の目次]

    一般社団法人電子情報通信学会

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各種コード

  • NII論文ID(NAID)
    110008004280
  • NII書誌ID(NCID)
    AN10091178
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09135685
  • NDL 記事登録ID
    10649087
  • NDL 雑誌分類
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL 請求記号
    Z16-940
  • データ提供元
    CJP書誌  NDL  NII-ELS 
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