| No. |
Poster Title |
Author(s) |
| 1 |
Causal Control of Phenotype and State Transition |
Chengming Zhang, Zexin Chen, Deyu Cai, Kazuyuki Aihara, and Luonan Chen |
| 2 |
Early Warning Signal for Random Dynamical Systems with Bounded Noise |
Wei Hao Tey, Guillermo Olicón Méndez, Kazuyuki Aihara |
| 3 |
Causal inference Based on Perturbed Embedding Entropy |
Yang Li, Jifan Shi, Kazuyuki Aihara |
| 4 |
Effect of Time Series Length on Estimation of Mouse Pupillometry Dynamics' Characteristics |
Nina Sviridova, Pietro Artoni, Michela Fagiolini, Takao K. Hensch, and Kazuyuki Aihara |
| 5 |
Identification of atrial fibrillation in ECG using machine learning methods |
K. Sakai, T. Saji, K. Takeda, H. Kitajima, M. Ishizawa, T. Minamino |
| 6 |
LSTM-based anomaly detection of pulse waves for identifying atrial fibrillation |
Kentaro Takeda, Hiroyuki Kitajima, Makoto Ishizawa, and Tetsuo Mimamino |
| 7 |
Approximating nonlinear dynamics on networks by sentinel nodes |
Neil G. MacLaren, Baruch Barzel, Naoki Masuda |
| 8 |
Dynamical Network Biomarker Theory for Hierarchical Networks |
Hampei Sasahara, Yuto Saito, Jun-ichi Imura |
| 9 |
Theory of restabilisation of high-dimensional data-driven network systems in very early treatment |
Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara |
| 10 |
A modified EKF approach to modeling GRNs via short gene expression time series |
Zhenhui Xu and Jun-ichi Imura |
| 11 |
Data Analysis to Investigate the Process of EMT in NMuMG Mouse Mammary Epithelial cells |
A.S.M. Bakibillah, H. Sasahara, X. Zhenhui, J. Imura |
| 12 |
Decrease in natural frequency as an overlooked early warning signal |
Makito Oku |
| 13 |
Discrimination of Multiple Myeloma and Precancerous State MGUS by Raman Microscopy |
Akinori Taketani, Shota Koshiyama, Jun Tahara, Keiichi Koizumi, Yusuke Oshima, Takayuki Haruki, Shota Yonezawa, Kohei Kunimoto, Daiki Kirigaya, Akinori Wada, Tsutomu Sato, Shigeru Saito |
| 14 |
Identification of the Mebyo genes for metabolic syndrome using the model organisms |
Kazutaka Akagi, Yingjie Jin, Makito Oku, Jun-ichi Imura, Keiichi Koizumi, Shigeru Saito |
| 15 |
Development of a Quantitative Prognostic Approach for Acute Liver Failure |
Raiki Yoshimura |
| 16 |
Quantitative evaluation of mucosal antibodies' role in inhibiting infectious SARS-CoV-2 shedding |
Takara Nishiyama, Sho Miyamoto, Park Hyeongki, Shingo Iwami |
| 17 |
Detection of the changes in the depression state under the COVID-19 pandemic by using the energy landscape analysis (ELA) |
Daiki Tatematsu, Naotoshi Nakamura, Shinsuke Koike, Shingo Iwami |
| 18 |
Identifying distinct neuroanatomical subtypes of Major depression disorder and Schizophrenia |
Yinghan Zhu, Norihide Maikusa, Kiyoto Kasai, Shinsuke Koike |
| 19 |
Multi-site large sample MRI dataset for adolescent development and psychiatric disorders |
Shinsuke Koike |
| 20 |
On the uncertainty principle and geometrization for spike coding models |
Xun Li, Lang Cao, Kazuyuki Aihara |
| 21 |
Computation harvesting from nature dynamics for predicting wind speed and direction |
Takumi Aita, Hiroyasu Ando, Yuichi Katori |
| 22 |
Temporal information processing using Mahalanobis distance of reservoir states |
Hiroto Tamura, Kantaro Fujiwara, Kazuyuki Aihara, and Gouhei Tanaka |
| 23 |
Revisiting memory capacity of a reservoir computer |
Swarnendu Mandal |
| 24 |
Evolving multi-reservoir network for understanding emotions |
Anubhav and Kantaro Fujiwara |
| 25 |
Data-driven modeling of time-varying GRN for early disease prediction |
Yosuke Inoue, Masaki Inoue |
| 26 |
Introduction to the Data Analysis Function Integrated with GakuNin RDM |
Ikki Fujiwara, Yusuke Komiyama, Kazutsuna Yamaji |
| 27 |
Hippocampal Structures Among Japanese Adolescents Before and After the COVID-19 Pandemic |
Lin Cai, Norihide Maikusa, Yinghan Zhu, Atsushi Nishida, Shuntaro Ando, Naohiro Okada, Kiyoto Kasai, Yuko Nakamura, Shinsuke Koike |
