def __init__(self, sim, num_threads, parameters):
Model.__init__(self, sim, num_threads, parameters)
# Load components
CortexExcL4 = load_component(
self.parameters.sheets.l4_cortex_exc.component)
CortexInhL4 = load_component(
self.parameters.sheets.l4_cortex_inh.component)
cortex_exc_l4 = CortexExcL4(
self, self.parameters.sheets.l4_cortex_exc.params)
cortex_inh_l4 = CortexInhL4(
self, self.parameters.sheets.l4_cortex_inh.params)
# initialize projections
UniformProbabilisticArborization(
self, 'V1L4ExcL4ExcConnection', cortex_exc_l4, cortex_exc_l4,
self.parameters.sheets.l4_cortex_exc.L4ExcL4ExcConnection).connect(
)
UniformProbabilisticArborization(
self, 'V1L4ExcL4InhConnection', cortex_exc_l4, cortex_inh_l4,
self.parameters.sheets.l4_cortex_exc.L4ExcL4InhConnection).connect(
)
UniformProbabilisticArborization(
self, 'V1L4InhL4ExcConnection', cortex_inh_l4, cortex_exc_l4,
self.parameters.sheets.l4_cortex_inh.L4InhL4ExcConnection).connect(
)
UniformProbabilisticArborization(
self, 'V1L4InhL4InhConnection', cortex_inh_l4, cortex_inh_l4,
self.parameters.sheets.l4_cortex_inh.L4InhL4InhConnection).connect(
)
def __init__(self, sim, num_threads, parameters):
Model.__init__(self, sim, num_threads, parameters)
# Load components
print "O"
CortexExcL4 = load_component(self.parameters.l4_cortex_exc.component)
CortexInhL4 = load_component(self.parameters.l4_cortex_inh.component)
RetinaLGN = load_component(self.parameters.retina_lgn.component)
# Build and instrument the network
self.visual_field = VisualRegion(
location_x=self.parameters.visual_field.centre[0],
location_y=self.parameters.visual_field.centre[1],
size_x=self.parameters.visual_field.size[0],
size_y=self.parameters.visual_field.size[1])
self.input_layer = RetinaLGN(self, self.parameters.retina_lgn.params)
cortex_exc_l4 = CortexExcL4(self, self.parameters.l4_cortex_exc.params)
cortex_inh_l4 = CortexInhL4(self, self.parameters.l4_cortex_inh.params)
GaborConnector(self, self.input_layer.sheets['X_ON'],
self.input_layer.sheets['X_OFF'], cortex_exc_l4,
self.parameters.l4_cortex_exc.AfferentConnection,
'V1AffConnection')
GaborConnector(self, self.input_layer.sheets['X_ON'],
self.input_layer.sheets['X_OFF'], cortex_inh_l4,
self.parameters.l4_cortex_inh.AfferentConnection,
'V1AffInhConnection')
# initialize projections
UniformProbabilisticArborization(
self, 'V1L4ExcL4ExcConnectionRand', cortex_exc_l4, cortex_exc_l4,
self.parameters.l4_cortex_exc.L4ExcL4ExcConnectionRand).connect()
UniformProbabilisticArborization(
self, 'V1L4ExcL4InhConnectionRand', cortex_exc_l4, cortex_inh_l4,
self.parameters.l4_cortex_exc.L4ExcL4InhConnectionRand).connect()
UniformProbabilisticArborization(
self, 'V1L4InhL4ExcConnectionRand', cortex_inh_l4, cortex_exc_l4,
self.parameters.l4_cortex_inh.L4InhL4ExcConnectionRand).connect()
UniformProbabilisticArborization(
self, 'V1L4InhL4InhConnectionRand', cortex_inh_l4, cortex_inh_l4,
self.parameters.l4_cortex_inh.L4InhL4InhConnectionRand).connect()
# initialize projections
ModularSamplingProbabilisticConnector(
self, 'V1L4ExcL4ExcConnection', cortex_exc_l4, cortex_exc_l4,
self.parameters.l4_cortex_exc.L4ExcL4ExcConnection).connect()
ModularSamplingProbabilisticConnector(
self, 'V1L4ExcL4InhConnection', cortex_exc_l4, cortex_inh_l4,
self.parameters.l4_cortex_exc.L4ExcL4InhConnection).connect()
ModularSamplingProbabilisticConnector(
self, 'V1L4InhL4ExcConnection', cortex_inh_l4, cortex_exc_l4,
self.parameters.l4_cortex_inh.L4InhL4ExcConnection).connect()
ModularSamplingProbabilisticConnector(
self, 'V1L4InhL4InhConnection', cortex_inh_l4, cortex_inh_l4,
self.parameters.l4_cortex_inh.L4InhL4InhConnection).connect()
def __init__(self, sim, num_threads, parameters):
Model.__init__(self, sim, num_threads, parameters)
# Load components
print(self.parameters.sheets.exc_layer.component)
ExcLayer = load_component(self.parameters.sheets.exc_layer.component)
InhLayer = load_component(self.parameters.sheets.inh_layer.component)
exc = ExcLayer(self, self.parameters.sheets.exc_layer.params)
inh = InhLayer(self, self.parameters.sheets.inh_layer.params)
# initialize projections
UniformProbabilisticArborization(self,'ExcExcConnection',exc,exc,self.parameters.sheets.exc_layer.ExcExcConnection).connect()
UniformProbabilisticArborization(self,'ExcInhConnection',exc,inh,self.parameters.sheets.exc_layer.ExcInhConnection).connect()
UniformProbabilisticArborization(self,'InhExcConnection',inh,exc,self.parameters.sheets.inh_layer.InhExcConnection).connect()
UniformProbabilisticArborization(self,'InhInhConnection',inh,inh,self.parameters.sheets.inh_layer.InhInhConnection).connect()
def __init__(self, sim, num_threads, parameters):
Model.__init__(self, sim, num_threads, parameters)
# Load components
CortexExc1 = load_component(self.parameters.exc1.component)
CortexExc2 = load_component(self.parameters.exc2.component)
CortexInh1 = load_component(self.parameters.inh1.component)
CortexInh2 = load_component(self.parameters.inh2.component)
cortex_exc1 = CortexExc1(self, self.parameters.exc1.params)
cortex_exc2 = CortexExc2(self, self.parameters.exc2.params)
cortex_inh1 = CortexInh1(self, self.parameters.inh1.params)
cortex_inh2 = CortexInh2(self, self.parameters.inh2.params)
# initialize projections
UniformProbabilisticArborization(
self, 'V1Exc1Exc1Connection', cortex_exc1, cortex_exc1,
self.parameters.exc1.Exc1Exc1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc1Exc2Connection', cortex_exc1, cortex_exc2,
self.parameters.exc1.Exc1Exc2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc1Inh1Connection', cortex_exc1, cortex_inh1,
self.parameters.exc1.Exc1Inh1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc1Inh2Connection', cortex_exc1, cortex_inh2,
self.parameters.exc1.Exc1Inh2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc2Exc1Connection', cortex_exc2, cortex_exc1,
self.parameters.exc2.Exc2Exc1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc2Exc2Connection', cortex_exc2, cortex_exc2,
self.parameters.exc2.Exc2Exc2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc2Inh1Connection', cortex_exc2, cortex_inh1,
self.parameters.exc2.Exc2Inh1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Exc2Inh2Connection', cortex_exc2, cortex_inh2,
self.parameters.exc2.Exc2Inh2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh1Exc1Connection', cortex_inh1, cortex_exc1,
self.parameters.inh1.Inh1Exc1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh1Exc2Connection', cortex_inh1, cortex_exc2,
self.parameters.inh1.Inh1Exc2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh1Inh1Connection', cortex_inh1, cortex_inh1,
self.parameters.inh1.Inh1Inh1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh1Inh2Connection', cortex_inh1, cortex_inh2,
self.parameters.inh1.Inh1Inh2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh2Exc1Connection', cortex_inh2, cortex_exc1,
self.parameters.inh2.Inh2Exc1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh2Exc2Connection', cortex_inh2, cortex_exc2,
self.parameters.inh2.Inh2Exc2Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh2Inh1Connection', cortex_inh2, cortex_inh1,
self.parameters.inh2.Inh2Inh1Connection).connect()
UniformProbabilisticArborization(
self, 'V1Inh2Inh2Connection', cortex_inh2, cortex_inh2,
self.parameters.inh2.Inh2Inh2Connection).connect()