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Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)
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<html> <p>Developer Fabio Simoes de Souza, 2020 <br/> University of Colorado Anschutz Medical Campus University Federal of ABC </p><p>Ma et al., 2020<br/> Molecular layer interneurons in the cerebellum encode for valence in associative learning<br/> Nature Communications </p><p>biorXiv <a href="https://doi.org/10.1101/2019.12.14.876201">https://doi.org/10.1101/2019.12.14.876201</a> </p><p>Region: Cerebellum<br/> Cell Type: Purkinje cell (PC) and Stellate cell (SC) Simulator: NEURON </p><p>Model Input: PF background input from 0 to 2000ms and from 4000ms to 5000ms. Odorant-driven PF input from 2000ms to 4000ms. CF input at 4000ms for S+ conditions.<br/> Model Output: PC and SC firing in response to PF and CF inputs </p><ol> <li>Download the model package from the Downloads section. </li><li>Unzip the downloaded package </li><li>Run mknrndll (mswin), or nrnivmodl (all platforms) to compile the mechanisms </li><li>Choose the experimental condition by uncommenting the desired line in the file mosinit.hoc</li></ol> <p>S+ and Saline:<br/> //load_file("mosinit_PC_SC_SplusSaline.hoc") </p><p>S- and Saline:<br/> //load_file("mosinit_PC_SC_SminusSaline.hoc") </p><p>S+ and CNO:<br/> //load_file("mosinit_PC_SC_SplusCNO.hoc") </p><p>S- and CNO:<br/> //load_file("mosinit_PC_SC_SminusCNO.hoc") </p><p>5) Run the file mosinit.hoc (with nrngui). If you need more help running the model please consult:<br/> <a href="https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide">https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide</a> </p><p>6) 20200715: an update from Fabio Simoes de Souza to include spike time saving in hoc files and Plot_results.m matlab file to plot them similar to Suppl. Fig. 14: </p> <p> <img src="./screenshot.png" alt="screenshot" width="650"> </p> </html>
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