.yaml file for parameters specifying value and unit for each parameter (physical units like in NEST simulation) and name of parameter combination/label (e.g., "microcircuit")
throughout the code use Python quantities
implement function to read in .yaml and convert to theoretical version of parameters used by all functions
keep parameters only in one dictionary (no class variables)
separation of neuron and network parameters from parameters specifying analysis method
.yaml file for parameters specifying value and unit for each parameter (physical units like in NEST simulation) and name of parameter combination/label (e.g., "microcircuit")
throughout the code use Python quantities
implement function to read in .yaml and convert to theoretical version of parameters used by all functions
keep parameters only in one dictionary (no class variables)
separation of neuron and network parameters from parameters specifying analysis method