Sparse coding generates curvature selectivity in V4 neurons

Yasuhiro Hatori, Tatsuroh Mashita, Ko Sakai

研究成果: Article査読

3 被引用数 (Scopus)


The cortical area V4 produces a representation of curvature as the intermediate-level representation of an object's shape. We investigated whether sparse coding is the principle driving the generation of the spatial properties of the receptive field in V4 that exhibit curvature selectivity. To investigate the role of sparseness in the construction of curvature representations, we applied component analysis with a sparseness constraint to the activity of model V2 neurons that were responding to shapes derived from natural images. Our simulation results showed that single basis functions with medium degrees of sparseness (0.7-0.8) produced curvature selectivity, and their population activity produced acute curvature bias. The results support the hypothesis that sparseness plays an essential role in the construction of curvature selectivity in V4.

ジャーナルJournal of the Optical Society of America A: Optics and Image Science, and Vision
出版ステータスPublished - 2016 4

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 原子分子物理学および光学
  • コンピュータ ビジョンおよびパターン認識


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