title: A computational model of the respiratory network challenged and optimized by data from optogenetic manipulation of glycinergic neurons.
abstract: The topology of the respiratory network in the brainstem has been addressed using different computational models, which help to understand the functional properties of the system. We tested a neural mass model by comparing the result of activation and inhibition of inhibitory neurons in silico with recently published results of optogenetic manipulation of glycinergic neurons [Sherman, et al. (2015) Nat Neurosci 18:408]. The comparison revealed that a five-cell type model consisting of three classes of inhibitory neurons [I-DEC, E-AUG, E-DEC (PI)] and two excitatory populations (pre-I/I) and (I-AUG) neurons can be applied to explain experimental observations made by stimulating or inhibiting inhibitory neurons by light sensitive ion channels.
authors.affiliation: Department of Physiology, Hyogo College of Medicine, Nishinomiya, Hyogo 663-8501, Japan. Electronic address: yoku@hyo-med.ac.jp.
authors.forename: Yoshitaka
authors.initials: Y
authors.lastname: Oku
authors.affiliation: Clinic for Anesthesiology, University Hospital Göttingen, Göttingen 37099, Germany; DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany. Electronic address: shuelsm2@uni-goettingen.de.
authors.forename: Swen
authors.initials: S
authors.lastname: Hülsmann
mesh_terms: D000818:Animals; D003198:Computer Simulation; D059330:GABAergic Neurons / Q000502:physiology; D005998:Glycine / Q000378:metabolism; D006801:Humans; D008526:Medulla Oblongata / Q000502:physiology*; D008959:Models, Neurological; D009433:Neural Inhibition; D016571:Neural Networks, Computer; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D062308:Optogenetics; D012119:Respiration
chemical_list: D005998:Glycine
keywords: breathing; computational neuroscience; inhibitory neurons; network topology