A Learning Machine with New Structure and Function. - Takashi Nagano (IEEE Trans. Syst. Man Cybern., 1973)

A Learning System with the Ability to Grasp Its Situation. - Takashi Nagano (IEEE Trans. Syst. Man Cybern., 1975)

A neural network model for the developmental process of hypercomplex cells. - Takashi Nagano; Shinichi Miyajima (IEEE Trans. Syst. Man Cybern., 1983)

A neural network model for visual motion detection that can explain psychophysical and neurophysiological phenomena. - Makoto Hirahara; Takashi Nagano (Biol. Cybern., 1993)

A Neural Network Model for the Velocity Vector of an Object and its Consistency with Psychological Phenomena. - Ken-ichiro Miura; Takashi Nagano (IWANN, 1995)

Self-organization of the velocity selectivity of a directionally selective neural network. - Ken-ichiro Miura; Koji Kurata; Takashi Nagano (Biol. Cybern., 1995)

A biologically plausible neural network for motion detection. - Ken-ichiro Miura; Takashi Nagano (Neural Process. Lett., 1995)

An Improvement of a Computational Model for the Detection of Really Moving Objects. - Ken-ichiro Miura; Takashi Nagano (ICONIP (1), 1997)

A Modular Type Network for Incremental Learning. - Seiji Ishihara; Takashi Nagano (ICONIP, 1998)

Self-Organizing Model for the Detection of Really Moving Objects. - Ken-ichiro Miura; Takashi Nagano; Kenji Kawano (ICONIP, 1998)

Personal Verification with Palm Print and Hand Shape by Utilizing Neural Network Techniques. - Takashi Nagano; Yoshiaki Hirai (NC, 1998)

A computational model for the detection of object motion by moving observer using self-motion signals. - Ken-ichiro Miura; Takashi Nagano (Inf. Sci., 2000)

A neural network for the typicality effects. - Makoto Hirahara; Takashi Nagano (IJCNN, 2003)

Submodular neural network is better than modular neural network and support vector machines for personal verification. - Takashi Nagano; Makoto Hirahara; Hideo Eguchi (IJCNN, 2003)

Segregation of motion aftereffect following adaptation to transparent motion. - Makoto Hirahara; Naoki Fukushima; Takashi Nagano (IJCNN, 2004)

A general model for visual motion detection. - Takashi Nagano; Makoto Hirahara; Wakako Urushihara (Biol. Cybern., 2004)

A 1/4-inch 8Mpixel back-illuminated stacked CMOS image sensor. - Shunichi Sukegawa; Taku Umebayashi; Tsutomu Nakajima; Hiroshi Kawanobe; Ken Koseki; Isao Hirota; Tsutomu Haruta; Masanori Kasai; Koji Fukumoto; Toshifumi Wakano; Keishi Inoue; Hiroshi Takahashi; et al. (ISSCC, 2013)

HiCUP: pipeline for mapping and processing Hi-C data. - Steven W. Wingett; Philip Ewels; Mayra Furlan-Magaril; Takashi Nagano; Stefan Schoenfelder; Peter Fraser; Simon Andrews (F1000Research, 2015)

4.6 A 1/2.3inch 20Mpixel 3-layer stacked CMOS Image Sensor with DRAM. - Tsutomu Haruta; Tsutomu Nakajima; Jun Hashizume; Taku Umebayashi; Hiroshi Takahashi; Kazuo Taniguchi; Masami Kuroda; Hiroshi Sumihiro; Koji Enoki; Takatsugu Yamasaki; Katsuya Ikezawa; Atsushi Kitahara; et al. (ISSCC, 2017)

A 1/4-inch 3.9Mpixel low-power event-driven back-illuminated stacked CMOS image sensor. - Oichi Kumagai; Atsumi Niwa; Katsuhiko Hanzawa; Hidetaka Kato; Shinichiro Futami; Toshio Ohyama; Tsutomu Imoto; Masahiko Nakamizo; Hirotaka Murakami; Tatsuki Nishino; Anas Bostamam; Takahiro Iinuma; et al. (ISSCC, 2018)

A back-illuminated global-shutter CMOS image sensor with pixel-parallel 14b subthreshold ADC. - Masaki Sakakibara; Koji Ogawa; Shin Sakai; Yasuhisa Tochigi; Katsumi Honda; Hidekazu Kikuchi; Takuya Wada; Yasunobu Kamikubo; Tsukasa Miura; Masahiko Nakamizo; Naoki Jyo; Ryo Hayashibara; et al. (ISSCC, 2018)

A single chip PPG sensor with enhanced IR sensitivity for low power and small size. - Jungwook Lim; Jihun Kim; Long Yan; Hyunpil Noh; Seungki Jung; Doosik Seol; Junghyung Pyo; Taesub Jung; Jungbin Yun; Dukseo Park; Howoo Park; Kyungho Lee; et al. (Imaging Sensors and Systems, 2021)