Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
NC2019-1
Analysis and application of periodic orbits in dynamic binary neural networks
Shota Anzai, Seitaro Koyama, Toshimichi Saito (HU)
p. 1
NC2019-2
Analysis of periodic orbits in digital maps by a self-organizaition synthesis method
Yuya Sawano, Toshimichi Saito (HU)
pp. 3 - 7
NC2019-3
Small-workd networks enhance the inter-brain synchronization
Kentaro Suzuki, Jihoon Park, Yuji Kawai, Minoru Asada (Osaka Univ.)
pp. 9 - 14
NC2019-4
Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network
Jihoon Park, Motohiro Ogura, Yuji Kawai, Minoru Asada (Osaka Univ.)
pp. 15 - 20
NC2019-5
Meta-analysis fMRI data helps robust source reconstruction of MEG measurements
Keita Suzuki (NAIST), Okito Yamashita (ATR)
pp. 21 - 25
NC2019-6
Evaluation of relationship between EEG and visual field characteristics in visual cognition
Tatsuya Maruno, Kota Yamamoto, Keiichiro Inagaki (Chubu Univ)
p. 27
NC2019-7
Gaze behavior analysis in source code comprehension through comparison with attention models
Kiyoka Ikea (Kyoto Women's Univ.), Takatomi Kubo, Yoshiharu Ikutani, Hideaki Hata, Nishanth Koganti, Takeshi Itoh, Kenichi Matsumoto (NAIST), Yuki Maruno (Kyoto Women's Univ.), Kazushi Ikeda (NAIST)
p. 29
NC2019-8
Evaluation of Emotional Impact of Music Based on Sentiment Polarity of Lyrics and Heart Rate Variability Analysis
Marie Ohki, Takatomi Kubo (NAIST), Yuki Maruno (Kyoto Women's Univ.), Kouichi Fujiwara (Nagoya Univ.), Toshitaka Yamakawa (Kumamoto Univ.), Kazushi Ikeda (NAIST)
p. 31
NC2019-9
An exploratory study on morphological features of brain MRI relevant to subtypes of psychiatric depression
Midori Sakai (NAIST), Masahiro Takamura, Naho Ichikawa, Alan Fermin, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki (Hiroshima University), Yuki Maruno (Kyoto Women's University), Takashi Nakano, Junichiro Yoshimoto (NAIST)
p. 33
NC2019-10
Embedded AI implementation
Tadaaki Shiraishi (MMS), Koji Kinoshita (Ehime Univ)
pp. 35 - 40
NC2019-11
MCMC for Value-at-Risk estimation
Igor Zavialov, Kazushi Ikeda (NAIST)
pp. 41 - 44
NC2019-12
Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model
Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.)
pp. 45 - 50
NC2019-13
Spatial-Temporal decomposition to resting and task MEG using DMD
Fumiya Nakai (NAIST), Okito Yamashita (ATR)
pp. 51 - 56
NC2019-14
A sleep state analysis from calcium imaging data using non-negative matrix factorization
Mizuo Nagayama, Toshimitsu Aritake (Waseda Univ.), Hideitsu Hino (ISM), Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.)
pp. 57 - 61
NC2019-15
Detection of Syntactic Anomalies in Spoken Sentences from Single-trial EEG Signals with Neural Networks
Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura (NAIST)
pp. 63 - 68
NC2019-16
Hybrid Reinforcement and Imitation Learning for Human-Like Agents
Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni)
pp. 69 - 74
NC2019-17
Additive or Concatenating Skip-connections Overcome the Degradation Problem of the Classic Feedforward Neural Network
Yasutaka Furusho, Kazushi Ikeda (NAIST)
pp. 75 - 80
NC2019-18
ResNet and Batch-normalization Improve Data Separation Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST)
pp. 81 - 86
NC2019-19
Theoretical Analysis of the Fixup Initialization for Fast Convergence and High Generalization Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST)
pp. 87 - 92
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.