کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5737120 1614576 2018 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells
ترجمه فارسی عنوان
یک روش پیاده سازی مدل عصبی گام به گام برای ضبط با رزولوشن فضایی بالا: کاربرد در لایه 5 سلول های هرمی
کلمات کلیدی
مدلهای چندگانه نرون، مدلسازی مفصل بیوفیزیکی، مدل سازی با استفاده از داده های تصویربرداری، روش اتصالات اتوماتیک، پارامتر لایه برداری،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی


- New VSD and Ca2+-imaging techniques allow high-resolution imaging of neurons.
- We present a stepwise model-fitting scheme with possibilities to apply to such data.
- We apply our method to simulated data to construct a reduced-morphology L5PC model.
- Our model is cost-efficient and reproduces the main features of the original model.
- Our model predicts that interconnected L5PCs can amplify low-frequency inputs.

BackgroundRecent progress in electrophysiological and optical methods for neuronal recordings provides vast amounts of high-resolution data. In parallel, the development of computer technology has allowed simulation of ever-larger neuronal circuits. A challenge in taking advantage of these developments is the construction of single-cell and network models in a way that faithfully reproduces neuronal biophysics with subcellular level of details while keeping the simulation costs at an acceptable level.New methodIn this work, we develop and apply an automated, stepwise method for fitting a neuron model to data with fine spatial resolution, such as that achievable with voltage sensitive dyes (VSDs) and Ca2+ imaging.ResultWe apply our method to simulated data from layer 5 pyramidal cells (L5PCs) and construct a model with reduced neuronal morphology. We connect the reduced-morphology neurons into a network and validate against simulated data from a high-resolution L5PC network model.Comparison with existing methodsOur approach combines features from several previously applied model-fitting strategies. The reduced-morphology neuron model obtained using our approach reliably reproduces the membrane-potential dynamics across the dendrites as predicted by the full-morphology model.ConclusionsThe network models produced using our method are cost-efficient and predict that interconnected L5PCs are able to amplify delta-range oscillatory inputs across a large range of network sizes and topologies, largely due to the medium after hyperpolarization mediated by the Ca2+-activated SK current.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 293, 1 January 2018, Pages 264-283
نویسندگان
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