Recognition of Rotated Patterns Using Neocognitron. - Shunji Satoh; Jousuke Kuroiwa; Hirotomo Aso; Shogo Miyake (ICONIP (1), 1997)

Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron. - Shunji Satoh; Jousuke Kuroiwa; Hirotomo Aso; Shogo Miyake (ICONIP, 1998)

Pattern Recognition System with Top-Down Process of Mental Rotation. - Shunji Satoh; Hirotomo Aso; Shogo Miyake; Jousuke Kuroiwa (IWANN (1), 1999)

A rotation-invariant neocognitron. - Shunji Satoh; Jousuke Kuroiwa; Hirotomo Aso; Shogo Miyake (Syst. Comput. Jpn., 1999)

Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources. - Shunji Satoh; Shogo Miyake; Hirotomo Aso (IWANN (1), 2001)

A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention. - Masao Shimomura; Shunji Satoh; Shogo Miyake; Hirotomo Aso (ICANN, 2002)

A Model for Selective Visual Attention Based on Discrete Scale-Spaces. - Shunji Satoh; Shogo Miyake (KES, 2003)

A model of overt visual attention based on scale-space theory. - Shunji Satoh; Shogo Miyake (Syst. Comput. Jpn., 2004)

A visual model for object detection based on active contours and level-set method. - Shunji Satoh (Biol. Cybern., 2006)

Computational Understanding and Modeling of Filling-In Process at the Blind Spot. - Shunji Satoh; Shiro Usui (ICONIP (1), 2007)

Engineering-Approach Accelerates Computational Understanding of V1-V2 Neural Properties. - Shunji Satoh; Shiro Usui (ICONIP (1), 2007)

Computational theory and applications of a filling-in process at the blind spot. - Shunji Satoh; Shiro Usui (Neural Networks, 2008)

A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. - Shiro Usui; Keiichiro Inagaki; Takayuki Kannon; Yoshimi Kamiyama; Shunji Satoh; Nilton Liuji Kamiji; Yutaka Hirata; Akito Ishihara; Hayaru Shouno (ICONIP (1), 2009)

Super resolution: Another computational role of short-range horizontal connection in the primary visual cortex. - Hiroaki Sasaki; Shunji Satoh (Neural Networks, 2009)

Efficient Representation by Horizontal Connection in Primary Visual Cortex. - Hiroaki Sasaki; Shunji Satoh; Shiro Usui (ICONIP (1), 2010)

Neural implementation of coarse-to-fine processing in V1 simple neurons. - Hiroaki Sasaki; Shunji Satoh; Shiro Usui (Neurocomputing, 2010)

Multi-GPU Acceleration of Optical Flow Computation in Visual Functional Simulation. - Junichi Ohmura; Akira Egashira; Shunji Satoh; Takefumi Miyoshi; Hidetsugu Irie; Tsutomu Yoshinaga (ICNC, 2011)

Simulation Platform: A cloud-based online simulation environment. - Tadashi Yamazaki; Hidetoshi Ikeno; Yoshihiro Okumura; Shunji Satoh; Yoshimi Kamiyama; Yutaka Hirata; Keiichiro Inagaki; Akito Ishihara; Takayuki Kannon; Shiro Usui (Neural Networks, 2011)

Reprint of: Simulation Platform: A cloud-based online simulation environment. - Tadashi Yamazaki; Hidetoshi Ikeno; Yoshihiro Okumura; Shunji Satoh; Yoshimi Kamiyama; Yutaka Hirata; Keiichiro Inagaki; Akito Ishihara; Takayuki Kannon; Shiro Usui (Neural Networks, 2011)

Parallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion. - Akira Egashira; Shunji Satoh; Hidetsugu Irie; Tsutomu Yoshinaga (ICNC, 2012)

Collaborative software platform for computational brain research based on OpenRTM. - Kazuki Urabe; Shunji Satoh; Taihei Kitagawa (SCIS&ISIS, 2012)

Computational identity between digital image inpainting and filling-in process at the blind spot. - Shunji Satoh (Neural Comput. Appl., 2012)

Computational Study of Depth Perception for an Ambiguous Image Region: How Can We Estimate the Depth of Black or White Paper? - Eiichi Mitsukura; Shunji Satoh (ICONIP (3), 2013)

A Simple Visual Model Accounts for Drift Illusion and Reveals Illusory Patterns. - Daiki Nakamura; Shunji Satoh (ICONIP (4), 2016)

Formulation of Border-Ownership Assignment in Area V2 as an Optimization Problem. - Zaem Arif Zainal; Shunji Satoh (ICONIP (3), 2017)

Computational study of depth completion consistent with human bi-stable perception for ambiguous figures. - Eiichi Mitsukura; Shunji Satoh (Neural Networks, 2018)

A border-ownership model based on computational electromagnetism. - Zaem Arif Zainal; Shunji Satoh (Neural Networks, 2018)

Simple speed estimators reproduce MT responses and identify strength of visual illusion. - Daiki Nakamura; Shunji Satoh (Neural Comput. Appl., 2019)