[1P] Poster

[1P-451] Measuring and Modeling Insight and Motivation: From Human fMRI to Chaotic RNNs and Fluctuation-Driven Neuromorphic Computing

*Kazufumi Hosoda^1,3,4, Misako Kimura^1,2, Wataru Miyamori^1,3, Ayako Kawasaki^1,4, Atsuya Kawamoto^1,3, Komaki Kunishige¹, Tsutomu Murata¹, Yuuki Matsushita⁵, Masayo Inoue⁶, Shigeto Seno⁷, Izumi Ohzawa¹, Kunihiko Kaneko^1,8, Toshio Yanagida¹ (1. CiNet, NICT, Osaka, Japan, 2. Grad Sch Sci, Univ of Hyogo, Hyogo, Japan, 3. Grad Sch FBS, Univ of Osaka, Osaka, Japan, 4. Grad Sch HS, Kobe Univ, Hyogo, Japan, 5. Simons Centre, NCBS, Bangalore, India, 6. Grad Sch Eng, Kyushu Inst of Tech, Fukuoka, Japan, 7. Grad Sch IST, Univ of Osaka, Osaka, Japan, 8. Niels Bohr Inst, Univ of Copenhagen, Copenhagen, Denmark)

Keywords:

VISUAL-INSIGHT-FMRI,CHAOTIC-RNN-MODELING,SDT-INTERNALIZATION-DYNAMICS,FLUCTUATION-DRIVEN-NEUROMORPHIC-COMPUTING

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