Objective and efficient inference for couplings in neuronal networks
Neurons and Cognition
2020-01-29 v1 Disordered Systems and Neural Networks
Statistical Mechanics
Adaptation and Self-Organizing Systems
Abstract
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 to the spike data obtained from the Hodgkin--Huxley type models and in vitro neuronal networks cultured in a circular structure. As a result, we succeed in reconstructing synaptic connections accurately from the evoked activity as well as the spontaneous one. To obtain the results, we invent an analytic formula approximately implementing a method of screening relevant couplings. This significantly reduces the computational cost of the screening method employed in the proposed objective procedure, making it possible to treat large-size systems as in this study.
Cite
@article{arxiv.1805.07061,
title = {Objective and efficient inference for couplings in neuronal networks},
author = {Yu Terada and Tomoyuki Obuchi and Takuya Isomura and Yoshiyuki Kabashima},
journal= {arXiv preprint arXiv:1805.07061},
year = {2020}
}