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Eri Nakagawa
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2020 – today
- 2021
- [j5]Eri Nakagawa, Motofumi Sumiya, Takahiko Koike, Norihiro Sadato:
The neural network underpinning social feedback contingent upon one's action: An fMRI study. NeuroImage 225: 117476 (2021) - [j4]Kohei Miyata, Takahiko Koike, Eri Nakagawa, Tokiko Harada, Motofumi Sumiya, Tetsuya Yamamoto, Norihiro Sadato:
Neural substrates for sharing intention in action during face-to-face imitation. NeuroImage 233: 117916 (2021)
2010 – 2019
- 2019
- [j3]Ryo Kitada, Ryuichi Doizaki, Jinhwan Kwon, Tsubasa Tanigawa, Eri Nakagawa, Takanori Kochiyama, Hiroyuki Kajimoto, Maki Sakamoto, Norihiro Sadato:
Brain networks underlying tactile softness perception: A functional magnetic resonance imaging study. NeuroImage 197: 156-166 (2019) - 2017
- [c3]Kazuki Moriya, Eri Nakagawa, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Aki Kimura, Satoko Miki, Keiichi Yasumoto:
Daily living activity recognition with ECHONET Lite appliances and motion sensors. PerCom Workshops 2017: 437-442 - [c2]Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
Toward real-time in-home activity recognition using indoor positioning sensor and power meters. PerCom Workshops 2017: 539-544 - 2016
- [j2]Takahiko Koike, Hiroki C. Tanabe, Shuntaro Okazaki, Eri Nakagawa, Akihiro T. Sasaki, Koji Shimada, Sho K. Sugawara, Haruka K. Takahashi, Kazufumi Yoshihara, Jorge Bosch-Bayard, Norihiro Sadato:
Neural substrates of shared attention as social memory: A hyperscanning functional magnetic resonance imaging study. NeuroImage 125: 401-412 (2016) - [j1]Masahiro Matsunaga, Hiroaki Kawamichi, Takahiko Koike, Kazufumi Yoshihara, Yumiko Yoshida, Haruka K. Takahashi, Eri Nakagawa, Norihiro Sadato:
Structural and functional associations of the rostral anterior cingulate cortex with subjective happiness. NeuroImage 134: 132-141 (2016) - [c1]Eri Nakagawa, Kazuki Moriya, Hirohiko Suwa, Manato Fujimoto, Yutaka Arakawa, Toshiyuki Hatta, Shotaro Miwa, Keiichi Yasumoto:
Investigating recognition accuracy improvement by adding user's acceleration data to location and power consumption-based in-home activity recognition system. MobiQuitous (Adjunct Proceedings) 2016: 100-105
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