forked from ModelDBRepository/223891
-
Notifications
You must be signed in to change notification settings - Fork 0
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
neuroman314/223891
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
<html><pre> This is the readme for the models associated with the papers: Connelly WM, Crunelli V, Errington AC. (2016) Passive Synaptic Normalization and Input Synchrony-Dependent Amplification of Cortical Feedback in Thalamocortical Neuron Dendrites. J Neurosci. Mar 30;36(13):3735-5 Connelly WM, Crunelli V, Errington AC. (2015) The Global Spike: Conserved Dendritic Properties Enable Unique Ca2+ Spike Generation in Low-Threshold Spiking Neurons. J Neurosci. Nov 25;35(47):15505-22. This model was developed in Neuron 7.2. The GUI will provide one click options to run certain simulations from the above papers. Data is saved to tab delimited *.dat files which you can then plot in other software. mosint.hoc, along with rlgntc5-10-95.geo provide the model description. proc.hoc provides a small number of helper functions. analysisProc.hoc provides a large number of simulation control functions. Some of these are used in the paper, and some are not. Example run: After compiling the mod files and starting the simulation with mosinit.hoc (<a href="https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html">https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html</a> has help if needed) if you press the "Generate Fig. 9C" button (2015 paper) the data file is generated and saved in a txt file in a minute or so. You can use your favorite program to plot this. The sample included matlab program simple_plot will graph this: Changes-- 20200925 by Connelly WM: analysisProc.hoc fixed so that the model entry code generates Fig 6D and 8H from Connelly et al., 2016 20200925 by NTC: NMDA_Mg_T.mod INITIAL block fixed so that initialization brings transition U <-> UMg to steady state. Prior to this fix, NMDA_Mg_T needed at least 50 ms of model time to settle before it became ready for "synaptic activation." The fix produces trivially small changes in the numerical results generated by this model entry and does not alter the authors' published findings. <img src="./screenshot.png" alt="screenshot" width="550"> </pre></html>
About
Rat LGN Thalamocortical Neuron (Connelly et al 2015, 2016)
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- GLSL 91.2%
- AMPL 8.5%
- MATLAB 0.3%