時間軸スムージング学習による局所センサ信号の統合と空間情報の抽出 Integration of Local Sensory Signals and Extraction of Spatial Information Based on Temporal Srmoothing Learning

この論文にアクセスする

この論文をさがす

著者

抄録

Our visual sensor consists of many retinal neurons, each of which covers only a local receptive field. In order to recognize the object location as an analog value, we have to integrate visual signals from many retinal neurons. In our real world, objects usually move smoothly according to the equations of motion. If an output of a neural network which receives inputs from retinal neurons, changes smoothly along time, the output represents the object location as an analog value. Then the learning method has been proposed, which makes the output of the neural network become smooth, in other words, makes the second time derivative of the output become 0.

収録刊行物

  • 日本神経回路学会誌 = The Brain & neural networks

    日本神経回路学会誌 = The Brain & neural networks 3(3), 98-105, 1996-09-05

    Japanese Neural Network Society

参考文献:  6件中 1-6件 を表示

被引用文献:  2件中 1-2件 を表示

各種コード

  • NII論文ID(NAID)
    10008841182
  • NII書誌ID(NCID)
    AA11658570
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    1340766X
  • データ提供元
    CJP書誌  CJP引用  J-STAGE 
ページトップへ