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( 1., 1.001,