Inference of Monosynaptic Connections from Parallel Spike Trains: A Review

no code implementations • 16 Mar 2024 • Ryota Kobayashi, Shigeru Shinomoto

This article presents a mini-review about the progress in inferring monosynaptic connections from spike trains of multiple neurons over the past twenty years.

Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling

no code implementations • 8 Mar 2021 • David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz

A defining feature of social media is that other users can provide feedback -- called community feedback -- to their content in the form of comments, replies, and retweets.

Social and Information Networks

TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics

1 code implementation • 31 Mar 2016 • Ryota Kobayashi, Renaud Lambiotte

The main mechanism driving content diffusion is the possibility for users to re-share the content posted by their social connections, which may then cascade across the system.

Social and Information Networks Physics and Society

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

no code implementations • NeurIPS 2011 • Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky, Shigeru Shinomoto

Here, we develop a Bayesian method for inferring the time-varying mean and variance of the synaptic input, along with the dynamics of each ion channel from a single voltage trace of a neuron.