# IS3 In Vivo Virtual Network Simulations ========================================= Luo X, Guet-McCreight A, Villette V, Francavilla R, Marino B, Chamberland S, Skinner FK, Topolnik L. (2020). Synaptic Mechanisms Underlying the Network State-Dependent Recruitment of VIP-Expressing Interneurons in the CA1 Hippocampus. Cerebral Cortex, bhz334, https://doi.org/10.1093/cercor/bhz334 Run this script to simulate and plot the IS3 models (code also available at https://github.com/FKSkinnerLab/IS3-Cell-Model/tree/master/RhythmTests). Note that this code was written for use with python 2.7 but has been adapted here for use in python 3. Directories ----------- 1 /SWR/ - Simulates in vivo-like inputs + SWR-timed inputs and plots results 2 /Theta/ - Simulates in vivo-like inputs + theta-timed inputs and plots results 3 /Theta_DoubledInputs/ - Simulates in vivo-like inputs + theta-timed inputs + doubling specific inputs and then plots results 4 /Theta_RemovedInputs/ - Simulates in vivo-like inputs + theta-timed inputs + removing specific inputs and then plots results 5 /Theta_NoiseTests/ - Simulates in vivo-like inputs + theta-timed inputs + effects of noise and then plots results List of models (ModelDB accession #: 223031) ------------- The models currently available are: 1 /SDprox1/ 2 /SDprox2/ From: Guet-McCreight A, Camiré O, Topolnik L, Skinner F. (2016). Using a semi-automated strategy to develop multi- compartment models that predict biophysical properties of interneuron- specific 3 (IS3) cells in hippocampus. eNeuro. 3:4. https://doi.org/10.1523/ENEURO.0087-16.2016 Model invocation ---------------- Before running the simulations you must first compile the mod files using the following command: nrnivmodl To run simulations, first cd into the directory of interest and then use python as a command-line argument as follows: python init.py