Takashi Nagano

According to our database, Takashi Nagano authored at least 19 papers between 1973 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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, Takashi Nagano, JungChak Ahn

Proceedings of the Imaging Sensors and Systems 2021, online, January 11-28, 2021, 2021

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, Yohei Furukawa, Shinya Miyata, Satoshi Yamamoto, Yoshiyuki Ota, Hirotsugu Takahashi, Tadayuki Taura, Yusuke Oike, Keiji Tatani, Takashi Nagano, Takayuki Ezaki, Teruo Hirayama

Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

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, Naoki Kuzuya, Kensuke Hatsukawa, Frederick T. Brady, William Bidermann, Toshifumi Wakano, Takashi Nagano, Hayato Wakabayashi, Yoshikazu Nitta

Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

2017

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, Masao Zen, Masafumi Oyama, Hiroki Koga, Hidenobu Tsugawa, Tomoharu Ogita, Takashi Nagano, Satoshi Takano, Tetsuo Nomoto

Proceedings of the 2017 IEEE International Solid-State Circuits Conference, 2017

2015

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

2013

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, Takashi Nagano, Yoshikazu Nitta, Teruo Hirayama, Noriyuki Fukushima

Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

2004

A general model for visual motion detection.

Takashi Nagano, Makoto Hirahara, Wakako Urushihara

Biol. Cybern., 2004

2000

A computational model for the detection of object motion by moving observer using self-motion signals.

Ken-ichiro Miura, Takashi Nagano

Inf. Sci., 2000

1998

Personal Verification with Palm Print and Hand Shape by Utilizing Neural Network Techniques.

Takashi Nagano, Yoshiaki Hirai

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Self-Organizing Model for the Detection of Really Moving Objects.

Ken-ichiro Miura, Takashi Nagano, Kenji Kawano

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

A Modular Type Network for Incremental Learning.

Seiji Ishihara, Takashi Nagano

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

An Improvement of a Computational Model for the Detection of Really Moving Objects.

Ken-ichiro Miura, Takashi Nagano

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1995

A biologically plausible neural network for motion detection.

Ken-ichiro Miura, Takashi Nagano

Neural Process. Lett., 1995

Self-organization of the velocity selectivity of a directionally selective neural network.

Ken-ichiro Miura, Koji Kurata, Takashi Nagano

Biol. Cybern., 1995

A Neural Network Model for the Velocity Vector of an Object and its Consistency with Psychological Phenomena.

Ken-ichiro Miura, Takashi Nagano

Proceedings of the From Natural to Artificial Neural Computation, 1995

1993

A neural network model for visual motion detection that can explain psychophysical and neurophysiological phenomena.

Makoto Hirahara, Takashi Nagano

Biol. Cybern., 1993

1983

A neural network model for the developmental process of hypercomplex cells.

Takashi Nagano, Shinichi Miyajima

IEEE Trans. Syst. Man Cybern., 1983

1975

A Learning System with the Ability to Grasp Its Situation.

Takashi Nagano

IEEE Trans. Syst. Man Cybern., 1975

1973

A Learning Machine with New Structure and Function.

Takashi Nagano

IEEE Trans. Syst. Man Cybern., 1973