def __init__(self, model, parameters):
"""
"""
logger.info("Creating %s with %d neurons." %
(self.__class__.__name__,
int(parameters.sx * parameters.sy / 1000000 *
parameters.density)))
Sheet.__init__(self, model, parameters)
self.magnification_factor = parameters.magnification_factor
def __init__(self, model, parameters):
logger.info("Creating %s with %d neurons." % (self.__class__.__name__, int(parameters.sx * parameters.sy * parameters.density)))
Sheet.__init__(self, model, parameters)
rs = space.RandomStructure(boundary=space.Cuboid(parameters.sx, parameters.sy, 0),
origin=(0.0, 0.0, 0.0),
rng=mozaik.pynn_rng)
#rs = space.Grid2D(aspect_ratio=1, dx=parameters.sx/parameters.density, dy=parameters.sy/parameters.density, x0=-parameters.sx/2,y0=-parameters.sy/2,z=0.0)
self.pop = self.sim.Population(int(parameters.sx * parameters.sy * parameters.density),
getattr(self.model.sim, self.parameters.cell.model),
self.parameters.cell.params,
structure=rs,
initial_values=self.parameters.cell.initial_values,
label=self.name)
def __init__(self, model, parameters):
Sheet.__init__(self, model, parameters.sx, parameters.sy, parameters)
logger.info("Creating %s with %d neurons." %
(self.__class__.__name__,
int(parameters.sx * parameters.sy * parameters.density)))
rs = space.RandomStructure(boundary=space.Cuboid(
self.size_x, self.size_y, 0),
origin=(0.0, 0.0, 0.0),
rng=mozaik.pynn_rng)
#rs = space.Grid2D(aspect_ratio=1, dx=parameters.sx/parameters.density, dy=parameters.sy/parameters.density, x0=-parameters.sx/2,y0=-parameters.sy/2,z=0.0)
self.pop = self.sim.Population(
int(parameters.sx * parameters.sy * parameters.density),
getattr(self.model.sim, self.parameters.cell.model),
self.parameters.cell.params,
structure=rs,
initial_values=self.parameters.cell.initial_values,
label=self.name)
def __init__(self, model, parameters):
Sheet.__init__(self, model, parameters.sx, parameters.sy, parameters)
logger.info("Creating *LGN* %s with %d neurons." %
(self.__class__.__name__,
int(parameters.sx * parameters.sy * parameters.density)))
rs = space.RandomStructure(boundary=space.Cuboid(
self.size_x, self.size_y, 0),
origin=(0.0, 0.0, 0.0),
rng=mozaik.pynn_rng)
print("* getattr(self.model.sim, self.parameters.cell.model) ",
getattr(self.model.sim, self.parameters.cell.model))
#rs = space.Grid2D(aspect_ratio=1, dx=parameters.sx/parameters.density, dy=parameters.sy/parameters.density, x0=-parameters.sx/2,y0=-parameters.sy/2,z=0.0)
self.pop = self.sim.Population(
int(parameters.sx * parameters.sy * parameters.density),
getattr(
self.model.sim,
self.parameters.cell.model), # replace with SpikeSourceArray
self.parameters.cell.params,
structure=rs,
initial_values=self.parameters.cell.initial_values,
# cellclass = self.sim.SpikeSourceArray(spike_times=[])) # spike times from nest/lgn output
label=self.name)
def __init__(self, model, parameters):
"""
"""
logger.info("Creating %s with %d neurons." % (self.__class__.__name__, int(parameters.sx*parameters.sy/1000000*parameters.density)))
Sheet.__init__(self, model, parameters)
self.magnification_factor = parameters.magnification_factor
