Main text

Münch JL, Paul F, Schmauder R, Benndorf K. 2022. Bayesian inference of kinetic schemes for ion channels by Kalman filtering. eLife 11:e62714. doi: 10.7554/eLife.62714.

It has come to our attention that a definition is lacking in the main text and subsequently some equations are not written consistently. We further noted that a text fragment is incorrect, the subpanel upper-scale legend in figure 3b is missing and indices are not always used consistently throughout the paper.

In detail:

(1) The following definition needs to be added to the main text:

Corrected text:

‘The set of all measurements up to time t is defined by Yt={y1,, yt} . If the system strictly obeys Equation 3 and Equation 4 then the KF is optimal in the sense that it is the minimum variance filter of…’

Original text:

“If the system strictly obeys Equation 3 and Equation 4 then the KF is optimal in the sense that it is the minimum variance filter of...”

(2) Based on this definition, we can write Equation 5–Equation 8 more consistently to represent the recursive nature of the algorithm. The way these equations are used remains exactly the same.

Corrected Eq. 5:

P(nt|Yt1)=P(nt|nt1)P(nt1|Yt1)dnt1,

Original Eq. 5:

P(nt)=P(nt|nt1)P(nt1|yt1)dnt1,

(The left-hand side omitted the conditioning on Yt1 on the right-hand side.)

Corrected Eq. 6:

P(nt|Yt1)=N(nt|Tnt1,Qt1)P(nt1|Yt1)dnt1

Original Eq. 6:

P(nt)=N(nt|Tnt1,Qt1)P(nt1|yt1)dnt1

(The left-hand side omitted the conditioning on Yt-1 on the right-hand side.)

Corrected Eq. 7:

P(nt|Yt)=O(yt|nt)P(nt|Yt1)O(yt|nt)P(nt|Yt1)dnt,

Original Eq. 7:

P(nt|yt)=O(yt|nt)P(nt)O(yt|nt)P(nt)dnt,

Corrected Eq.8:

P(nt|Yt)=N(yt|Hnt,Σt)P(nt|Yt1)N(yt|Hnt,Σt)P(nt|Yt1)dnt,

Original Eq. 8:

P(nt|yt)=N(yt|Hnt,Σt)P(nt)N(yt|Hnt,Σt)P(nt)dnt,

(3) A sentence on page 9 below Eq. 15 was scrambled:

Corrected Text:

“…performs consistently poorer. It may seem surprising that even for σop/i<0.01 the two stochastic algorithms start to produce different results. But considering the scaling (Materials and...”

Original text:

“…performs consistently poorer. It may seem surprising that even for In fact, the KF method beha the two stochastic algorithms start to produce different results. But considering the scaling (Materials and...”

(4) In Figure 3b, the legend of the upper scale needs to be added:

Corrected Figure 3 is shown here:

The originally published Figure 3 is shown for reference:

(5) We were inconsistent in the use of indexes for variance and standard deviations. E.g. for measuring noise: both σex and σm was used. Changes in two lines in Table 1 address this issue:

Corrected line 16, first column:

σm2 and σex2

Original line 16, first column:

σm2

Corrected line 20, first column:

σback2

Original line 20, first column:

σbulk2

The article has been corrected accordingly.

Article and author information

Author details

  1. Fabian Paul

  2. Ralf Schmauder

  3. Klaus Benndorf

    For correspondence
    KLAUS.BENNDORF@med.uni-jena.de

Version history

  1. Version of Record published:

Copyright

© 2024, Münch et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Jan L Münch
  2. Fabian Paul
  3. Ralf Schmauder
  4. Klaus Benndorf
(2024)
Correction: Bayesian inference of kinetic schemes for ion channels by Kalman filtering
eLife 13:e96697.
https://doi.org/10.7554/eLife.96697

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https://doi.org/10.7554/eLife.96697