Ryota Kobayashi

According to our database, Ryota Kobayashi authored at least 34 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multimodal Strain Sensing System for Shape Recognition of Tensegrity Structures by Combining Traditional Regression and Deep Learning Approaches.

Zebing Mao, Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori

IEEE Robotics Autom. Lett., November, 2024

Enhancement of Thin McKibben Muscle Durability Under Repetitive Actuation in a Bent State.

Ryota Kobayashi, Hiroyuki Nabae, Zebing Mao, Gen Endo, Koichi Suzumori

IEEE Robotics Autom. Lett., November, 2024

Large Language Model-empowered multimodal strain sensory system for shape recognition, monitoring, and human interaction of tensegrity.

Zebing Mao, Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori

CoRR, 2024

Fiber Jamming Mechanism for Back-Stretchable McKibben Muscles.

Shoma Tanaka, Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori

Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

2023

Effect of cerebrospinal fluid area mask correction on ¹²³I-FP-CIT SPECT images in idiopathic normal pressure hydrocephalus.

Makoto Ohba, Ryota Kobayashi, Chifumi Iseki, Kazukuni Kirii, Daichi Morioka, Koichi Otani, Yasuyuki Ohta, Yukihiko Sonoda, Koji Suzuki, Masafumi Kanoto

BMC Medical Imaging, December, 2023

Active-Bending Six-Bar Tensegrity Modular Robot Driven by Thin Artificial Muscles.

Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori

IEEE Robotics Autom. Lett., November, 2023

NOMA-Based Highly-Efficient Low-Latency HARQ with Inter-Base Station Cooperation for URLLC.

Ryota Kobayashi, Takanori Hara, Yasuaki Yuda, Kenichi Higuchi

IEICE Trans. Commun., November, 2023

Highly-Efficient Low-Latency HARQ Built on NOMA for URLLC: Radio Resource Allocation and Transmission Rate Control Aspects.

Ryota Kobayashi, Yasuaki Yuda, Kenichi Higuchi

IEICE Trans. Commun., October, 2023

Large Torsion Thin Artificial Muscles Tensegrity Structure for Twist Manipulation.

Ryota Kobayashi, Hiroyuki Nabae, Koichi Suzumori

IEEE Robotics Autom. Lett., March, 2023

Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons.

Hayeong Lee, Lubomir Kostal, Ryohei Kanzaki, Ryota Kobayashi

Biosyst., January, 2023

2022

Soft Tensegrity Robot Driven by Thin Artificial Muscles for the Exploration of Unknown Spatial Configurations.

Ryota Kobayashi, Hiroyuki Nabae, Gen Endo, Koichi Suzumori

IEEE Robotics Autom. Lett., 2022

Evolution of the public opinion on COVID-19 vaccination in Japan.

Yuri Nakayama, Yuka Takedomi, Towa Suda, Takeaki Uno, Takako Hashimoto, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Luis E. C. Rocha, Ryota Kobayashi

CoRR, 2022

2021

Analyzing temporal patterns of topic diversity using graph clustering.

Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno

J. Supercomput., 2021

NOMA-Based Highly-Efficient Low-Latency HARQ Method for URLLC.

Ryota Kobayashi, Yasuaki Yuda, Kenichi Higuchi

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Modeling Collective Anticipation and Response on Wikipedia.

Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter.

Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Estimating community feedback effect on topic choice in social media with predictive modeling.

David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz

EPJ Data Sci., 2020

Modeling and Predicting Fake News Spreading on Twitter.

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki, Ryota Kobayashi

CoRR, 2020

2019

Simultaneous Local Adaptation for Different Local Properties.

Ryota Kobayashi, Ryo Takano, Hiroyuki Sato, Keiki Takadama

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2019

Effective and Stable Neuron Model Optimization Based on Aggregated CMA-ES.

Han Xu, Takahiro Shinozaki, Ryota Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

A single spike deteriorates synaptic conductance estimation.

Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo, Petr Lánský

Biosyst., 2017

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series.

Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi, Carlos Castillo, Philippe Cudré-Mauroux, Karl Aberer

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

Impact of slow K+ currents on spike generation can be described by an adaptive threshold model.

Ryota Kobayashi, Katsunori Kitano

J. Comput. Neurosci., 2016

Input-output relationship in social communications characterized by spike train analysis.

Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi, Renaud Lambiotte

CoRR, 2016

Interactive Projection System That Always Presents Information within User's View.

Jun-ichi Imai, Ryota Kobayashi, Kazuya Jinjo, Hirobumi Suzuki, Kazuto Kameda, Shohei Koshikawa, Seiya Takihara

Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics.

Ryota Kobayashi, Renaud Lambiotte

Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015

Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron.

Ryota Kobayashi, Jufang He, Petr Lánský

Frontiers Comput. Neurosci., 2015

Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints.

Lubomir Kostal, Ryota Kobayashi

Biosyst., 2015

2013

Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model.

Ryota Kobayashi, Katsunori Kitano

J. Comput. Neurosci., 2013

Anti-resonance peak frequency control by variable on-die capacitance.

Wataru Ichimura, Sho Kiyoshige, Masahiro Terasaki, Ryota Kobayashi, Genki Kubo, Hiroki Otsuka, Toshio Sudo

Proceedings of the 9th International Workshop on Electromagnetic Compatibility of Integrated Circuits, 2013

2011

Estimation of Time-Dependent Input from Neuronal Membrane Potential.

Ryota Kobayashi, Shigeru Shinomoto, Petr Lánský

Neural Comput., 2011

Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron.

Ryota Kobayashi, Yasuhiro Tsubo, Petr Lánský, Shigeru Shinomoto

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.

Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto

Frontiers Comput. Neurosci., 2009

2006

Predicting spike times from subthreshold dynamics of a neuron.

Ryota Kobayashi, Shigeru Shinomoto

Proceedings of the Advances in Neural Information Processing Systems 19, 2006