14 citations · 33 across the 7 of their papers we have counts for
3 papers · 1 filter
Objective and efficient inference for couplings in neuronal networks
Yu Terada, Tomoyuki Obuchi, Takuya Isomura +1
Inferring directional couplings from the spike data of networks is desired in various scientific fields such as neuroscience. Here, we apply a recently proposed objective procedure…
Inferring neuronal couplings from spiking data using a systematic procedure with a statistical criterion
Yu Terada, Tomoyuki Obuchi, Takuya Isomura +1
Recent remarkable advances in the experimental techniques have provided a background for inferring neuronal couplings from point process data that includes a great number of neuron…
A role of asymmetry in linear response of globally coupled oscillator systems
Yu Terada, Keigo Ito, Ryosuke Yoneda +2
The linear response is studied in globally coupled oscillator systems including the Kuramoto model. We develop a linear response theory which can be applied to systems whose coupli…