Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2021-31
A System for Estimating Individual Differences of Perceptual Information in the Brain via Brain-activity Prediction by Convolutional Neural Networks
Kiichi Kawahata (Osaka Univ.), Antoine Blanc (NICT), Naoya Maeda (NTT Data), Shinji Nishimoto (Osaka Univ.), Satoshi Nishida (NICT)
pp. 1 - 6
NC2021-32
A Study on Elucidating Hierarchical Neural Processing of Visual and Semantic Information using Deep Learning
Haruka Kawasaki (Ochadai), Satoshi Nishida (NICT), Ichiro Kobayashi (Ochadai)
pp. 7 - 12
NC2021-33
Estimation of Cognitive Function by Multi-scale Entropy Analysis in EEG Signals
Yuta Iinuma, Sou Nobukawa (CIT), Kimoko Mizukami (KU), Megumi Kawaguchi (FU), Yuji Tanaka (AMH), Masato Higashima (SH), Tetuya Takahashi (FU)
pp. 13 - 18
NC2021-34
Dynamical Characteristics of Instantaneous-Frequency-Based Micro-State for EEG signals in Schizophrenia.
Daiya Ebina, Sou Nobukawa (Chiba Institute of Technology), Mitsuru Kikuchi, Takashi Ikeda, Tetsuya Takahashi (Kanazawa Univ.)
pp. 19 - 23
NC2021-35
Analysis of Functional Connectivity of EEG during Driving
Masahiro Tsurushima, Sou Nobukawa (ChibaTech), Nobuhiko Wagatsuma (Toho Univ.), Inagaki Keiichiro (Chubu Univ.)
pp. 24 - 29
NC2021-36
Correspondence beween AlexNet model and Monkey Visual Cortices
Nobuhiko Wagatsumama (Toho Univ.), Akinori Hidaka (Tokyo Denki Univ.), Hiroshi Tamura (Osaka Univ.)
pp. 30 - 33
NC2021-37
Evaluation of fine-art generated by cycle generative adversarial networks through brain activity and introspection
Ryunosuke Takagi, Keiichiro Inagaki (Chubu Univ)
pp. 34 - 36
NC2021-38
Complexity analysis for temporal patterns of pupil diameters in neural model for ADHD
Hiraku Kumano (CIT), Sou Nobukawa (CIT/NCNP), Aya Shirama (NCNP), Tetsuya Takahashi (KU), Shigenobu Toda (SU)
pp. 37 - 42
NC2021-39
Development of a gait phase detection algorithm for finite state control of functional electrical stimulation during walking
Koshi Shibagaki, Suzufumi Arai, Matija Milosevic, Taishin Nomura (Osaka Univ)
p. 43
NC2021-40
Analog-circuit design of STDP learning rule with linear decay and its LSI implementation
Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.)
p. 44
NC2021-41
Analog CMOS implementation of majority logic for neuromorphic circuit applications
Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.)
pp. 45 - 48
NC2021-42
Reward-oriented Environment Inference on Reinforcement Learning
Kazuki Takahashi (Kogakuin Univ.), Tomoki Fukai (OIST), Yutaka Sakai (Tamagawa Univ.), Takashi Takekawa (Kogakuin Univ.)
pp. 49 - 54
NC2021-43
Towards 2-class classification via e(m)-PCA
Jun Fujiki (Fukuoka Univ.), Shotaro Akaho (AIST)
pp. 55 - 58
NC2021-44
Adversarial Training with Knowledge Distillation considering Intermediate Feature Representation in CNNs
Hikaru Higuchi (The Univ. of Electro-Communications), Satoshi Suzuki (former NTT), Hayaru Shouno (The Univ. of Electro-Communications)
pp. 59 - 64
NC2021-45
Deep learning of mixture of continuous and categorical data with regularizers added to the cost function and evaluation of the effectiveness of sparse modeling
Masumi Ishikawa (Kyutech)
pp. 65 - 70
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.