کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5737939 | 1614729 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A computational model of the respiratory network challenged and optimized by data from optogenetic manipulation of glycinergic neurons
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A computational model of the respiratory network challenged and optimized by data from optogenetic manipulation of glycinergic neurons A computational model of the respiratory network challenged and optimized by data from optogenetic manipulation of glycinergic neurons](/preview/png/5737939.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience - Volume 347, 7 April 2017, Pages 111-122
Journal: Neuroscience - Volume 347, 7 April 2017, Pages 111-122
نویسندگان
Yoshitaka Oku, Swen Hülsmann,