69 citations · 69 across the 3 of their papers we have counts for
4 papers
Graphon Signal Processing for Spiking and Biological Neural Networks
Takuma Sumi, Georgi S. Medvedev
Graph Signal Processing (GSP) extends classical signal processing to signals defined on graphs, enabling filtering, spectral analysis, and sampling of data generated by networks of…
Reservoir computing with the Kuramoto model
Hayato Chiba, Koichi Taniguchi, Takuma Sumi
Reservoir computing aims to achieve high-performance and low-cost machine learning with a dynamical system as a reservoir. However, in general, there are almost no theoretical guid…
Biological neurons act as generalization filters in reservoir computing
Takuma Sumi, Hideaki Yamamoto, Yuichi Katori +4
Reservoir computing is a machine learning paradigm that transforms the transient dynamics of high-dimensional nonlinear systems for processing time-series data. Although reservoir…
Suppression of hypersynchronous network activity in cultured cortical neurons using an ultrasoft silicone scaffold
Takuma Sumi, Hideaki Yamamoto, Ayumi Hirano-Iwata
The spontaneous activity pattern of cortical neurons in dissociated culture is characterized by burst firing that is highly synchronized among a wide population of cells. The degre…