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B. Membrane voltage traces for three cable lengths as a function of time (shown for 10 compartments that span the cable).
From the plots, we can observe that the method performs reasonably well even in the case of estimating the model parameters at the same time it is filtering out the noise in the membrane voltage traces.
The corresponding membrane voltage traces are shown below.
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Bottom: Representative PY membrane voltage trace.
Top: Sample membrane voltage trace (black: control, red: with feedback field).
The fitting technique indirectly matches neuronal currents derived from somatic membrane potential data rather than fitting the voltage traces directly.
(A ), voltage traces depicting the parameters extracted to characterize membrane excitability.
At the right of each panel, histogram plotting the peak amplitude of membrane depolarizations induced by Bk. (D – E ) At the left, superimposed voltage traces under high [K+]o in response to Bk before (black) and after (red) applying ruthenium red (200 µM, D ) or lowering temperature from 34 to 24°C (E ).
Specifically, the rasters in Fig. 7Aiii were made by thresholding voltage traces at −10 mV in Clampfit, which cleanly isolated spikes from non-spike membrane fluctuations.
In this paper, we propose a filtering method that is able to sequentially infer the time course of the membrane potential, the intrinsic activity of ionic channels, and the input synaptic conductances from noisy observations of voltage traces.
(C) Average PY membrane voltage Vm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com