added doi for data repository
This commit is contained in:
@@ -293,8 +293,8 @@ Electric stimuli were attenuated (ATN-01M, \secret{npi-electronics, Tamm, German
|
||||
|
||||
\subsection{Data analysis} Data analysis was done in Python 3 using the packages matplotlib \citep{Hunter2007}, numpy \citep{Walt2011}, scipy \citep{scipy2020}, nixio \citep{Stoewer2014}, and thunderlab (\secret{\url{https://github.com/bendalab/thunderlab}}).
|
||||
|
||||
\paragraph{Code accessibility}
|
||||
The P-unit model parameters and spectral analysis algorithms are available at \secret{\url{https://github.com/bendalab/punitmodel/tree/v1}}.
|
||||
\paragraph{Code and data accessibility}
|
||||
The P-unit model parameters and spectral analysis algorithms are available at \secret{\url{https://github.com/bendalab/punitmodel/tree/v1}}. The electrophysiological data of all the P-units and Ampullary cells analyzed here, the analysis scripts, and the scripts simulating the P-unit model responses are accessible at \secret{\url{https://doi.org/10.12751/g-node.4w8ebq}}.
|
||||
|
||||
\paragraph{Baseline analysis}\label{baselinemethods}
|
||||
The baseline firing rate $r$ was calculated as the number of spikes divided by the duration of the baseline recording (median 32\,s). The coefficient of variation (CV) of the interspike intervals (ISI) is their standard deviation relative to their mean: $\rm{CV}_{\rm base} = \sqrt{\langle (ISI- \langle ISI \rangle) ^2 \rangle} / \langle ISI \rangle$. If the baseline was recorded several times in a recording, the measures from the longest recording were taken.
|
||||
@@ -673,7 +673,8 @@ We have demonstrated pronounced nonlinear responses in primary electrosensory af
|
||||
We thank Tim Hladnik, Henriette Walz, Franziska Kuempfbeck, Fabian Sinz, Laura Seidler, Eva Vennemann, and Ibrahim Tunc for the data they recorded over the years in our lab.
|
||||
|
||||
\paragraph{Founding sources}
|
||||
Supported by SPP 2205 ``Evolutionary optimisation of neuronal processing'' by the DFG, project number 430157666.
|
||||
Supported by SPP 2205 ``Evolutionary optimisation of neuronal processing'' by the DFG, project number 430157666,
|
||||
and by the Open Access Publication Fund of the University of T\"ubingen.
|
||||
|
||||
|
||||
%\bibliographystyle{apalike}%alpha}%}%alpha}%apalike}
|
||||
|
||||
BIN
submission/figure01.pdf
Normal file
BIN
submission/figure01.pdf
Normal file
Binary file not shown.
BIN
submission/figure02.pdf
Normal file
BIN
submission/figure02.pdf
Normal file
Binary file not shown.
BIN
submission/figure03.pdf
Normal file
BIN
submission/figure03.pdf
Normal file
Binary file not shown.
BIN
submission/figure04.pdf
Normal file
BIN
submission/figure04.pdf
Normal file
Binary file not shown.
BIN
submission/figure05.pdf
Normal file
BIN
submission/figure05.pdf
Normal file
Binary file not shown.
BIN
submission/figure06.pdf
Normal file
BIN
submission/figure06.pdf
Normal file
Binary file not shown.
BIN
submission/figure07.pdf
Normal file
BIN
submission/figure07.pdf
Normal file
Binary file not shown.
BIN
submission/figure08.pdf
Normal file
BIN
submission/figure08.pdf
Normal file
Binary file not shown.
BIN
submission/figure09.pdf
Normal file
BIN
submission/figure09.pdf
Normal file
Binary file not shown.
BIN
submission/figure10.pdf
Normal file
BIN
submission/figure10.pdf
Normal file
Binary file not shown.
1090
submission/manuscript.tex
Normal file
1090
submission/manuscript.tex
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user