import corr_SDNSD as st
import pyNN.nest as sim
from NeuroTools.sandbox import make_name
from NeuroTools.sandbox import check_name
import numpy
p = ParameterSet({})
# Parameters for neuronal features
p.vm = -65.
p.th = -50.
p.tau_synE = 0.3
p.tau_synI = 2.
p.E_ex = 0.
p.E_in = -70.
p.ie = 0.
p.cm = 500.
p.gL = 25.
p.tref = 2.
# Parameters for running
p.timestep = 0.1
p.min_delay = 0.1
p.max_delay = 5.1
p.runtime = 500000.
# Parameters for number and connections
p.r0 = 1400. # excitatory input rate
p.ri = 1647. # inhibitory input rate
p.je = 0.015 # excitatory synaptic weight
p.ji = -0.015 # inhibitory synaptic weight
p.cb = ParameterRange(numpy.arange(
