Predicting spike times from subthreshold dynamics of a neuron. - Ryota Kobayashi; Shigeru Shinomoto (NIPS, 2006)

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. - Ryota Kobayashi; Yasuhiro Tsubo; Shigeru Shinomoto (Frontiers Comput. Neurosci., 2009)

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 (NIPS, 2011)

Estimation of Time-Dependent Input from Neuronal Membrane Potential. - Ryota Kobayashi; Shigeru Shinomoto; Petr Lánský (Neural Comput., 2011)

Anti-resonance peak frequency control by variable on-die capacitance. - Wataru Ichimura; Sho Kiyoshige; Masahiro Terasaki; Ryota Kobayashi; Genki Kubo; Hiroki Otsuka; Toshio Sudo (EMC Compo, 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)

Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints. - Lubomir Kostal; Ryota Kobayashi (Biosyst., 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)

TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. - Ryota Kobayashi; Renaud Lambiotte (ICWSM, 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 (SCIS&ISIS, 2016)

Input-output relationship in social communications characterized by spike train analysis. - Takaaki Aoki; Taro Takaguchi; Ryota Kobayashi; Renaud Lambiotte (CoRR, 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)

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series. - Julia Proskurnia; Przemyslaw A. Grabowicz; Ryota Kobayashi; Carlos Castillo 001; Philippe Cudré-Mauroux; Karl Aberer (WWW, 2017)

A single spike deteriorates synaptic conductance estimation. - Ryota Kobayashi; Hiroshi Nishimaru; Hisao Nishijo; Petr Lánský (Biosyst., 2017)

Effective and Stable Neuron Model Optimization Based on Aggregated CMA-ES. - Han Xu; Takahiro Shinozaki; Ryota Kobayashi (ICASSP, 2019)

Simultaneous Local Adaptation for Different Local Properties. - Ryota Kobayashi; Ryo Takano; Hiroyuki Sato; Keiki Takadama (IES, 2019)

Modeling and Predicting Fake News Spreading on Twitter. - Taichi Murayama; Shoko Wakamiya; Eiji Aramaki; Ryota Kobayashi (CoRR, 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)

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 001; Masaru Kitsuregawa; Ryota Kobayashi (IEEE BigData, 2021)

Modeling Collective Anticipation and Response on Wikipedia. - Ryota Kobayashi; Patrick Gildersleve; Takeaki Uno; Renaud Lambiotte (ICWSM, 2021)

NOMA-Based Highly-Efficient Low-Latency HARQ Method for URLLC. - Ryota Kobayashi; Yasuaki Yuda; Kenichi Higuchi (VTC Fall, 2021)

Analyzing temporal patterns of topic diversity using graph clustering. - Takako Hashimoto; David Lawrence Shepard; Tetsuji Kuboyama; Kilho Shin 001; Ryota Kobayashi; Takeaki Uno (J. Supercomput., 2021)

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 001; Masaru Kitsuregawa; Luis E. C. Rocha; Ryota Kobayashi (CoRR, 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)

Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons. - Hayeong Lee; Lubomir Kostal; Ryohei Kanzaki; Ryota Kobayashi (Biosyst., 2023)

Large Torsion Thin Artificial Muscles Tensegrity Structure for Twist Manipulation. - Ryota Kobayashi; Hiroyuki Nabae; Koichi Suzumori (IEEE Robotics Autom. Lett., 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., 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., 2023)

Active-Bending Six-Bar Tensegrity Modular Robot Driven by Thin Artificial Muscles. - Ryota Kobayashi; Hiroyuki Nabae; Koichi Suzumori (IEEE Robotics Autom. Lett., 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, 2023)

Fiber Jamming Mechanism for Back-Stretchable McKibben Muscles. - Shoma Tanaka; Ryota Kobayashi; Hiroyuki Nabae; Koichi Suzumori (SII, 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)

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., 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., 2024)

Soft Linear Actuator Utilizing Electrically Vibrating Threads. - Ryota Kobayashi; Hiroyuki Nabae; Gen Endo; Koichi Suzumori (SII, 2025)

Time-Lag Generation Mechanical Valve for Enhancing Time Response of Back-Stretchable McKibben Muscles. - Shoma Tanaka; Ryota Kobayashi; Hiroyuki Nabae; Koichi Suzumori (SII, 2025)

McKibben Muscle With Elastic Thread Embedded in Parallel Extending Range of Motion of Muscle-Driven Robots. - Ryota Kobayashi; Shoma Tanaka; Hiroyuki Nabae; Gen Endo; Koichi Suzumori (IEEE Robotics Autom. Lett., 2025)