Journal
NEUROSCIENCE
Volume 347, Issue -, Pages 111-122Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neuroscience.2017.01.041
Keywords
computational neuroscience; breathing; network topology; inhibitory neurons
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Funding
- Deutsche Forschungsgemeinschaff through the Cluster of Excellence
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB) [Hu797/8-1]
- JST Strategic Japanese-German Cooperative Program in Computational Neuroscience [12000005]
- Grants-in-Aid for Scientific Research [15K00417] Funding Source: KAKEN
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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/1) and (I-AUG) neurons can be applied to explain experimental observations made by stimulating or inhibiting inhibitory neurons by light sensitive ion channels. (C) 2017 IBRO. Published by Elsevier Ltd. All rights reserved.
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