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Mesoscale simulations of classical eyeblink conditioning

Code for model, simulations and analysis of classical eyeblink conditioning with a spiking neural network, E-GLIF neurons and spike-driven plasticity, as described in Geminiani et al., biorXiv, 2022 - doi: https://doi.org/10.1101/2023.06.20.545667

Required software:

Repository content:

  • configuration contains the configuration file of the network model with construction (BSB v3.8+) and simulation parameters
  • utils includes the code for simulation parameter setting and functions
  • sim_run.py and sim_analysis.py are scripts to run and ananlyse simulations, respectively
  • sim_run.sh contains the .slurm instructions to run simulations on Piz Daint supercomputer

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