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Kobayashi Lab
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The lab explores how information flows through the brain and social media using data and mathematical models.
AboutAbout the lab
Exploring information flow with data and mathematical models.
Kobayashi Lab studies mathematical modeling and data analysis techniques for complex systems such as society and the brain.
The lab develops techniques for extracting useful information from data that changes over time (time series).
In particular, it investigates how information flows within the brain and on social media.
Key terms
- Time series
- Data recorded in sequence as time passes. The way it changes offers clues for understanding the underlying mechanisms.
- Mathematical modeling
- A method of expressing how a phenomenon works in mathematical equations so that it can be reproduced or predicted through computation.
- Spike signal
- A short, sharp electrical pulse that a neuron emits when transmitting information.
NewsLab news
Paper on TopiCLEAR, a method for extracting topics from text, published
Paper on a method for estimating types of interactions published in Communications Physics
Paper on a method for estimating interaction networks published in PLoS Complex Systems
Review paper on methods for estimating synaptic connections from spike data published
Paper selected for Top 100 Engineering Scientific Reports papers of 2023
ResearchResearch themes
The lab investigates information flow in the brain and in society by analyzing data obtained from the real world and building mathematical models of it. It works with data that changes over time, such as neuronal signals and social media posts.
*Illustrative imageAnalyzing information flow in the brain
The lab has developed methods for estimating how information is transmitted from neuron to neuron, based on spike signals recorded from many neurons.
*Illustrative imageHow information spreads on social media
The lab analyzes real-world data with mathematical models to study how information spreads on social media. It has worked on algorithms that predict future retweet counts and on mathematical models of the spread of fake news.
*Illustrative imageUnderstanding society through internet data
The lab studies society by analyzing large-scale data from the internet. Examples include examining changes in public interest from posts about COVID-19 vaccines and examining shifts in interests using Wikipedia data.
MembersFaculty
Members of Kobayashi Lab include faculty, doctoral students, and master's students.As of 2026
- Associate ProfessorRyota KobayashiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Internet map 1024” The Opte Project / CC BY 2.5 (cropped)
- Analyzing information flow in the brain: “Pyramidal hippocampal neuron 40x” MethoxyRoxy / CC BY-SA 2.5 (cropped)
- How information spreads on social media: “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Understanding society through internet data: “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
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