Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
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<html><pre> This is the readme for the models associated with the paper: Wilmes, K. A., Schleimer, J.-H. and Schreiber, S. (2017), Spike-timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials. Eur J Neurosci, 45: 1032–1043. doi:10.1111/ejn.13326 Prerequisite: Python 2.7 or higher 1. Install NEURON: <a href="https://www.neuron.yale.edu/neuron/download">https://www.neuron.yale.edu/neuron/download</a> 2. Compile the mod files, using: "nrnivmodl mod_files" in the directory containing the python files if unix/linux platform (see <a href="https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html">https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html</a> for help with other platforms) 3. Run the python script Wilmesetal_EJN2017.py or open the Notebook Wilmesetal_EJN2017.ipynb (see here for instructions: <a href="http://jupyter.org/install.html">http://jupyter.org/install.html</a> ) Figure 2 <img src="./2BD.png" width="550" alt="Fig 2BD"> 20171102 Updates from K Wilmes to remove an extra False printed to the command line while the simulations run. </pre></html>
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Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
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