GitHub - ModelDBRepository/232096: Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)

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Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)

modeldb.science/232096

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Fig_hippLTP.m		Fig_hippLTP.m
Fig_hippLTP_out.png		Fig_hippLTP_out.png
Larkman1992_LTP.xls		Larkman1992_LTP.xls
README.html		README.html
loadColors.m		loadColors.m
statLTSP_gui.fig		statLTSP_gui.fig
statLTSP_gui.m		statLTSP_gui.m
statLTSP_gui_out.png		statLTSP_gui_out.png

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<p>%%<br/>
%% Readme me file for Statistical long-term synaptic plasticity (statLTSP) code<br/>
%%<br/>
%% Reference: <a href="https://doi.org/10.1016/j.neuron.2017.09.021">Costa et al. Neuron, Volume 96, Issue 1, 27 Sept 2017, Pages 177-189</a><br/>
%%
</p>
<p>Requirements: This code was tested in Matlab2016b on Mac OS X (but should run on other version)
</p>
<ol>
  <li>Running Fig_hippLTP.m compares the model with the data from hippocampal LTP (see the expected output in Fig_hippLTP_out.png and Figure 2 in the paper):<br/><br/>
    <img src="./Fig_hippLTP_out.png" alt="Fig_hippLTP_out.png" width="550">
<br/><br/>
  </li><li>Running statLTSP_gui.m displays a graphical interface that allows the user to play with the different parameters of the model (it should look like statLTSP_gui_out.png):<br/><br/>
      <img src="./statLTSP_gui_out.png" alt="statLTSP_gui_out.png" width="550">
<br/><br/>
</li></ol>
<p>Data: All datasets are available on Mendeley Data (see paper for more details)
</p>
<p>Important note: In our framework we always work with q normalised (unitless). This is because when comparing with the data we scale q by the mean q in the data (see Methods). However, for the plots we map q back to mV to be easily comparable with observed values. In addition we assume an Euclidean metric (in contrast to a Riemannian metric for example) for the gradient descent, because this was sufficient to match experimental observations.
</p>
<p>Note 2: You should be able to easily get the code you need and translate it to other programming languages.</p>

<p/> 20180612 Rui Costa updated this archive to add clarifications to the code and readme.
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