A scalable MPEG-4 video codec architecture for IMT-2000 multimedia applications. - Masafumi Takahashi; Tsuyoshi Nishikawa; Hideho Arakida; Noriaki Machida; Hideaki Yamamoto; Toshihide Fujiyoshi; Yoko Matsumoto; Osamu Yamagishi; Tatsuo Samata; Atsushi Asano; Toshihiro Terazawa; Kenji Ohmori; et al. (ISCAS, 2000)

A 60-MHz 240-mW MPEG-4 videophone LSI with 16-Mb embedded DRAM. - Masafumi Takahashi; Tsuyoshi Nishikawa; Mototsugu Hamada; Toshinari Takayanagi; Hideho Arakida; Noriaki Machida; Hideaki Yamamoto; Toshihide Fujiyoshi; Yoko Ohashi; Osamu Yamagishi; Tatsuo Samata; Atsushi Asano; et al. (IEEE J. Solid State Circuits, 2000)

Ultra-Small Reader/Writer with Multiple Contactless Interfaces on a Flexible Circuit Board. - Hideaki Yamamoto; Minoru Ikeda; Yasuhiro Hosoda (IEICE Trans. Commun., 2009)

A 222mW H.264 Full-HD decoding application processor with x512b stacked DRAM in 40nm. - Yu Kikuchi; Makoto Takahashi; Tomohisa Maeda; Hiroyuki Hara; Hideho Arakida; Hideaki Yamamoto; Yousuke Hagiwara; Tetsuya Fujita; Manabu Watanabe; Takayoshi Shimazawa; Yasuo Ohara; Takashi Miyamori; et al. (ISSCC, 2010)

A 40 nm 222 mW H.264 Full-HD Decoding, 25 Power Domains, 14-Core Application Processor With x512b Stacked DRAM. - Yu Kikuchi; Makoto Takahashi; Tomohisa Maeda; Masatoshi Fukuda; Yasuhiro Koshio; Hiroyuki Hara; Hideho Arakida; Hideaki Yamamoto; Yousuke Hagiwara; Tetsuya Fujita; Manabu Watanabe; Hirokazu Ezawa; et al. (IEEE J. Solid State Circuits, 2011)

Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. - Satoshi Moriya; Hideaki Yamamoto; Hisanao Akima; Ayumi Hirano-Iwata; Michio Niwano; Shigeru Kubota; Shigeo Sato (IJCNN, 2017)

Control of the Correlation of Spontaneous Neuron Activity in Biological and Noise-activated CMOS Artificial Neural Microcircuits. - Ramin M. Hasani; Giorgio Ferrari; Hideaki Yamamoto; Sho Kono; Koji Ishihara; Soya Fujimori; Takashi Tanii; Enrico Prati (CoRR, 2017)

Effective Subnetwork Topology for Synchronizing Interconnected Networks of Coupled Phase Oscillators. - Hideaki Yamamoto; Shigeru Kubota; Fabio A. Shimizu; Ayumi Hirano-Iwata; Michio Niwano (Frontiers Comput. Neurosci., 2018)

Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications. - Satoshi Moriya; Hideaki Yamamoto; Ayumi Hirano-Iwata; Shigeru Kubota; Shigeo Sato (IJCNN, 2019)

Contribution of AMPA and NMDA receptors in the spontaneous firing patterns of single neurons in autaptic culture. - Kouhei Hattori; Takeshi Hayakawa; Akira Nakanishi; Mihoko Ishida; Hideaki Yamamoto; Ayumi Hirano-Iwata; Takashi Tanii (Biosyst., 2020)

A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. - Shigeo Sato; Satoshi Moriya; Yuka Kanke; Hideaki Yamamoto; Yoshihiko Horio; Yasushi Yuminaka; Jordi Madrenas (ICANN (5), 2021)

Computational Efficiency of a Modular Reservoir Network for Image Recognition. - Yifan Dai; Hideaki Yamamoto; Masao Sakuraba; Shigeo Sato (Frontiers Comput. Neurosci., 2021)

A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. - Satoshi Moriya; Hideaki Yamamoto; Shigeo Sato; Yasushi Yuminaka; Yoshihiko Horio; Jordi Madrenas (IJCNN, 2022)

Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing. - Satoshi Moriya; Hideaki Yamamoto; Masaya Ishikawa; Yasushi Yuminaka; Yoshihiko Horio; Jordi Madrenas; Shigeo Sato (IJCNN, 2024)

Event-Driven Inference with Spiking Neural Networks Enhanced by Non-Volatile Analog Spin-Orbit Torque Devices. - Satoshi Moriya; Yosuke Iida; Aurélien Lagarrigue; K. Vihanga De Zoysa; Masaya Ishikawa; Hideaki Yamamoto; Sunsuke Fukami; Shigeo Sato (ISCAS, 2025)

Analog CMOS Spiking Neural Network for Time-Series Signal Recognition. - Shigeo Sato; Satoshi Moriya; Masaya Ishikawa; Hideaki Yamamoto (ISMVL, 2025)

Directional intermodular coupling enriches functional complexity in biological neuronal networks. - Nobuaki Monma; Hideaki Yamamoto; Naoya Fujiwara; Hakuba Murota; Satoshi Moriya; Ayumi Hirano-Iwata; Shigeo Sato (Neural Networks, 2025)