def __init__(self, sheet, parameters):
DirectStimulator.__init__(self, sheet,parameters)
exc_syn = self.sheet.sim.StaticSynapse(weight=self.parameters.exc_weight,delay=self.sheet.model.parameters.min_delay)
inh_syn = self.sheet.sim.StaticSynapse(weight=self.parameters.inh_weight,delay=self.sheet.model.parameters.min_delay)
if not self.sheet.parameters.mpi_safe:
from pyNN.nest import native_cell_type
if (self.parameters.exc_firing_rate != 0 or self.parameters.exc_weight != 0):
self.np_exc = self.sheet.sim.Population(1, native_cell_type("poisson_generator"),{'rate': 0})
self.sheet.sim.Projection(self.np_exc, self.sheet.pop,self.sheet.sim.AllToAllConnector(),synapse_type=exc_syn,receptor_type='excitatory')
if (self.parameters.inh_firing_rate != 0 or self.parameters.inh_weight != 0):
self.np_inh = self.sheet.sim.Population(1, native_cell_type("poisson_generator"),{'rate': 0})
self.sheet.sim.Projection(self.np_inh, self.sheet.pop,self.sheet.sim.AllToAllConnector(),synapse_type=inh_syn,receptor_type='inhibitory')
else:
if (self.parameters.exc_firing_rate != 0 or self.parameters.exc_weight != 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(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(rng=numpy.random.RandomState(seed=seeds[i])) for i in numpy.nonzero(self.sheet.pop._mask_local)[0]]
self.sheet.sim.Projection(self.ssai, self.sheet.pop,self.sheet.sim.OneToOneConnector(),synapse_type=inh_syn,receptor_type='inhibitory')
def __init__(self, sheet, parameters):
DirectStimulator.__init__(self, sheet, parameters)
population_selector = load_component(
self.parameters.population_selector.component)
self.ids = population_selector(
sheet, self.parameters.population_selector.params
).generate_idd_list_of_neurons()
d = dict((j, i) for i, j in enumerate(self.sheet.pop.all_cells))
self.to_stimulate_indexes = [d[i] for i in self.ids]
exc_syn = self.sheet.sim.StaticSynapse(
weight=self.parameters.exc_weight,
delay=self.sheet.model.parameters.min_delay)
if (self.parameters.exc_firing_rate != 0
or self.parameters.exc_weight != 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(rng=numpy.random.RandomState(seed=seeds[i]))
for i in self.to_stimulate_indexes
]
self.sheet.sim.Projection(self.ssae,
self.sheet.pop,
self.sheet.sim.OneToOneConnector(),
synapse_type=exc_syn,
receptor_type='excitatory')
def __init__(self, sheet, parameters):
DirectStimulator.__init__(self, sheet, parameters)
population_selector = load_component(
self.parameters.population_selector.component)
self.ids = population_selector(
sheet, self.parameters.population_selector.params
).generate_idd_list_of_neurons()
# print(self.ids[0].id) # 1901
# d = dict((j, i) for i, j in enumerate(self.sheet.pop.all_cells)) # nest
d = dict((str(j), i)
for i, j in enumerate(self.sheet.pop.all_cells)) # spinnaker
# d = dict((i, j) for i, j in enumerate(numpy.asarray(self.sheet.pop.all_cells))) # spinnaker abbott
# d = dict((j, i) for i, j in enumerate(self.sheet.pop.all_cells)) # spinnaker abbott
# print("self.ids ", self.ids)
# print("d ", d)
# self.to_stimulate_indexes = [d[i.id] for i in self.ids]
self.to_stimulate_indexes = [d[str(i)] for i in self.ids
] # str because there is an object
# workaround
# self.to_stimulate_indexes = [k.item() for k in self.ids] # spinnaker abbott
exc_syn = self.sheet.sim.StaticSynapse(
weight=self.parameters.exc_weight,
delay=self.sheet.model.parameters.min_delay)
if (self.parameters.exc_firing_rate != 0
or self.parameters.exc_weight != 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(rng=numpy.random.RandomState(seed=seeds[i]))
for i in self.to_stimulate_indexes
]
print("sheet Kick projection ", self.ssae)
print("sheet Kick projection ", self.sheet.pop)
self.p = self.sheet.sim.Projection(
self.ssae,
self.sheet.pop,
self.sheet.sim.OneToOneConnector(),
synapse_type=exc_syn,
receptor_type='excitatory')