[1P] 79 Neural Network Modeling and Artificial Intelligence | NEURO2024

Session Details

Late-Breaking AbstractsH. Methodology・Others

[1P]79 Neural Network Modeling and Artificial Intelligence

Wed. Jul 24, 2024 12:50 PM - 1:50 PM JST
Wed. Jul 24, 2024 3:50 AM - 4:50 AM UTC

Poster Room Marine Messe Fukuoka Hall B

[1P-489]A theoretical model of transitive inference acquired during sleep

*Kensuke Yoshida¹, Genki Shimizu^1,2, Yuri Kinoshita^1,2, Taro Toyoizumi^1,2 (1. RIKEN Center for Brain Science, 2. Graduate School of Information Science and Technology, the University of Tokyo)

[1P-491]Does the optimal structure of Vision Transformer (ViT) demonstrate a universal scaling law in accordance with the scale of the training data?

*Rui Yamamoto¹, Keiji Miura¹ (1. Kwansei Gakuin University)

[1P-493]A deep learning mind-reading model using eye gaze information

*Nayuta Tada¹, Takeshi Kohama¹ (1. Graduate School of Biology-Oriented Science and Technology)

[1P-495]Physical reservoir computing with micropatterned neuronal networks on high-density microelectrode arrays.

*Yusei Nishi^1,2, Hideaki Yamamoto^1,2,3,4, Takuma Sumi⁴, Yuki Sono^2,3, Yuya Sato^2,5, Yuichi Katori^6,7, Ayumi Hirano-Iwata^1,2,3,4,5, Shigeo Sato^1,2,3 (1. Dept Elect, Inf and Phys Eng, Sch Eng, Tohoku Univ, Sendai, Japan, 2. RIEC, Tohoku Univ, Sendai, Japan, 3. Grad Sch Eng, Tohoku Univ, Sendai, Japan, 4. WPI-AIMR, Tohoku Univ, Sendai, Japan, 5. Grad Sch Biomed Eng, Tohoku Univ, Sendai, Japan, 6. Sch Syst Inf Sci, Future Univ Hakodate, Hakodate, Japan, 7. WPI-IRCN, Univ Tokyo, Tokyo, Japan)

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