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src/n/e/NeuroTools-0.2.0/examples/stgen/shotnoise_step.py   NeuroTools(Download)
 
clf()
stg = stgen.StGen()
 
rate = numpy.array([6.0,10.0,6.0,6.0])

src/n/e/NeuroTools-0.2.0/examples/sfn2008/sfn_example_stgen.py   NeuroTools(Download)
import NeuroTools.stgen as stgen
import pylab
sg = stgen.StGen()
duration = 10000.
rate_independent = 100. #Hz

src/n/e/NeuroTools-0.2.0/examples/stgen/inh_gamma_psth.py   NeuroTools(Download)
psth = zeros_like(t)
 
stg = stgen.StGen()
 
trials = 5000

src/n/e/NeuroTools-0.2.0/examples/stgen/inh_2Dmarkov_psth.py   NeuroTools(Download)
psth = zeros_like(t)
 
stg = stgen.StGen()
 
tau_s = 110.0

src/n/e/NeuroTools-0.2.0/examples/sfn2008/sfn_example_parameterspace.py   NeuroTools(Download)
 
import NeuroTools.stgen as stgen
sg = stgen.StGen()
 
from NeuroTools.parameters import ParameterSpace

src/h/e/Helmholtz-0.2.0/helmholtz/analysis/tools/examples/analysis_test.py   Helmholtz(Download)
from NeuroTools.facets import fkbtools
from NeuroTools import parameters
from NeuroTools.stgen import StGen
from NeuroTools.signals import SpikeTrain, SpikeList
import shutil
        for name,val in non_linearity_parameters.items():
            setattr(self, name, val)
        self.spike_generator = StGen()
 
    def setup(self, nframes, frame_duration):

src/h/e/Helmholtz-0.2.0/helmholtz/analysis/tools/examples/component_generator.py   Helmholtz(Download)
from NeuroTools.facets import fkbtools
from NeuroTools import parameters
from NeuroTools.stgen import StGen
from NeuroTools.signals import SpikeTrain, SpikeList
import shutil

src/p/y/PyNN-HEAD/examples/iaf_sfa_relref/backend_comparison.py   PyNN(Download)
def run(sim):
    """ Run the mcb simulation with known random numbers for the given simulator backend"""
 
    stg = stgen.StGen()
    stg.seed(12345)

src/m/o/mozaik-0.1.0/mozaik/sheets/direct_stimulator.py   mozaik(Download)
                        self.ssae = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
                        seeds=mozaik.get_seeds((self.sheet.pop.size,))
                        self.stgene = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in numpy.nonzero(self.sheet.pop._mask_local)[0]]
                        self.sheet.sim.Projection(self.ssae, self.sheet.pop,self.sheet.sim.OneToOneConnector(),synapse_type=exc_syn,receptor_type='excitatory')
 
            if (self.parameters.inh_firing_rate != 0 or self.parameters.inh_weight != 0):
                        self.ssai = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
                        seeds=mozaik.get_seeds((self.sheet.pop.size,))
                        self.stgeni = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in numpy.nonzero(self.sheet.pop._mask_local)[0]]
            self.ssae = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
            seeds=mozaik.get_seeds((self.sheet.pop.size,))
            self.stgene = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in self.local_and_to_stimulate_indexes]
            self.sheet.sim.Projection(self.ssae, self.sheet.pop,self.sheet.sim.OneToOneConnector(),synapse_type=exc_syn,receptor_type='excitatory') 
 

src/m/o/mozaik-HEAD/mozaik/sheets/direct_stimulator.py   mozaik(Download)
                        self.ssae = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
                        seeds=mozaik.get_seeds((self.sheet.pop.size,))
                        self.stgene = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in numpy.nonzero(self.sheet.pop._mask_local)[0]]
                        self.sheet.sim.Projection(self.ssae, self.sheet.pop,self.sheet.sim.OneToOneConnector(),synapse_type=exc_syn,receptor_type='excitatory')
 
            if (self.parameters.inh_firing_rate != 0 or self.parameters.inh_weight != 0):
                        self.ssai = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
                        seeds=mozaik.get_seeds((self.sheet.pop.size,))
                        self.stgeni = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in numpy.nonzero(self.sheet.pop._mask_local)[0]]
            self.ssae = self.sheet.sim.Population(self.sheet.pop.size,self.sheet.sim.SpikeSourceArray())
            seeds=mozaik.get_seeds((self.sheet.pop.size,))
            self.stgene = [stgen.StGen(rng=numpy.random.RandomState(seed=seeds[i])) for i in self.local_and_to_stimulate_indexes]
            self.sheet.sim.Projection(self.ssae, self.sheet.pop,self.sheet.sim.OneToOneConnector(),synapse_type=exc_syn,receptor_type='excitatory') 
 

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