from NeuroTools.parameters import ParameterSpace
from NeuroTools.parameters import ParameterRange
from NeuroTools.sandbox import make_name
# creating a ParameterSpace
p = ParameterSpace({})
# adding fixed parameters
p.nu = 20. # rate [Hz]
p.duration = 1000.
# adding ParameterRanges
p.c = ParameterRange([0.0, 0.01, 0.1, 0.5])
p.jitter = ParameterRange([
0.0,
1.0,
5.0,
])
# calculation of the ParameterSpace dimension and the labels of the parameters
# containing a range
dims, labels = p.parameter_space_dimension_labels()
print "dimensions: ", dims
print ' labels: ', labels
def calc_cc(p):
"""
Generate correlated spike trains from the ParameterSet.
Parameter:
sg = stgen.StGen()
from NeuroTools.parameters import ParameterSpace
from NeuroTools.parameters import ParameterRange
from NeuroTools.sandbox import make_name
# creating a ParameterSpace
p = ParameterSpace({})
# adding fixed parameters
p.nu = 20. # rate [Hz]
p.duration = 1000.
# adding ParameterRanges
p.c = ParameterRange([0.0,0.01,0.1,0.5])
p.jitter = ParameterRange([0.0,1.0,5.0,])
# calculation of the ParameterSpace dimension and the labels of the parameters
# containing a range
dims, labels = p.parameter_space_dimension_labels()
print "dimensions: ", dims
print ' labels: ', labels
def calc_cc(p):
"""
Generate correlated spike trains from the ParameterSet.
Parameter:
p - ParameterSet containing parameters nu (rate), c (correlation),
duration (in ms), jitter (in ms).
