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Ryota Kobayashi
- > Home > Persons > Ryota Kobayashi
Publications
- 2023
- [j16]Hayeong Lee, Lubomir Kostal, Ryohei Kanzaki, Ryota Kobayashi:
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons. Biosyst. 223: 104802 (2023) - 2022
- [i6]Yuri Nakayama, Yuka Takedomi, Towa Suda, Takeaki Uno, Takako Hashimoto, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Luis E. C. Rocha, Ryota Kobayashi:
Evolution of the public opinion on COVID-19 vaccination in Japan. CoRR abs/2207.10924 (2022) - 2021
- [j9]Takako Hashimoto, David Lawrence Shepard, Tetsuji Kuboyama, Kilho Shin, Ryota Kobayashi, Takeaki Uno:
Analyzing temporal patterns of topic diversity using graph clustering. J. Supercomput. 77(5): 4375-4388 (2021) - [c11]Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. IEEE BigData 2021: 614-621 - [c10]Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte:
Modeling Collective Anticipation and Response on Wikipedia. ICWSM 2021: 315-326 - [i4]Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno, Renaud Lambiotte:
Modeling Collective Anticipation and Response on Wikipedia. CoRR abs/2105.10900 (2021) - 2017
- [j7]Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo, Petr Lánský:
A single spike deteriorates synaptic conductance estimation. Biosyst. 161: 41-45 (2017) - 2016
- [c5]Ryota Kobayashi, Renaud Lambiotte:
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. ICWSM 2016: 191-200 - [i2]Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi, Renaud Lambiotte:
Input-output relationship in social communications characterized by spike train analysis. CoRR abs/1603.08144 (2016) - [i1]Ryota Kobayashi, Renaud Lambiotte:
TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics. CoRR abs/1603.09449 (2016) - 2015
- [j5]Lubomir Kostal, Ryota Kobayashi:
Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints. Biosyst. 136: 3-10 (2015) - [j4]Ryota Kobayashi, Jufang He, Petr Lánský:
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron. Frontiers Comput. Neurosci. 9: 59 (2015) - 2011
- [j2]Ryota Kobayashi, Shigeru Shinomoto, Petr Lánský:
Estimation of Time-Dependent Input from Neuronal Membrane Potential. Neural Comput. 23(12): 3070-3093 (2011) - [c2]Ryota Kobayashi, Yasuhiro Tsubo, Petr Lánský, Shigeru Shinomoto:
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. NIPS 2011: 217-225 - 2009
- [j1]Ryota Kobayashi, Yasuhiro Tsubo, Shigeru Shinomoto:
Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers Comput. Neurosci. 3: 9 (2009) - 2006
- [c1]Ryota Kobayashi, Shigeru Shinomoto:
Predicting spike times from subthreshold dynamics of a neuron. NIPS 2006: 721-728
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