def connectV1Laterals(p,V1RingNo):
######################################################################################
# <<<<<WARNING>>>>: CANNOT CHANGE BOUNDS AND SIZE IN CONNECTIONS POST-INITIALISATION #
######################################################################################
if V1RingNo not in [1, 'MAX']: print "**WARNING**: COUPLED RING COUNT FOR V1 LATERAL INH and EXC"
# topo.sim.connect(
# 'V1','V1',delay=0.05,strength=p.exc_strength,name='LateralExcitatory',
# connection_type=projection.CFProjection,learning_rate=p.exc_lr,
# nominal_bounds_template=sheet.BoundingBox(radius=0.104),
# weights_generator=pattern.Gaussian(aspect_ratio=1.0, size=0.05))
V1ExcParams = {'delay':0.05, 'strength':p.exc_strength, 'name':'LateralExcitatory',
'connection_type':projection.CFProjection, 'learning_rate':p.exc_lr,
'nominal_bounds_template':sheet.BoundingBox(radius=0.104),
'weights_generator':pattern.Gaussian(aspect_ratio=1.0, size=0.05)}
V1ExcBoundsChanged = makeDelayedLaterals('V1', 'LateralExcitatory', V1ExcParams, V1RingNo,
pattern.Gaussian, {'aspect_ratio':1.0, 'size':0.05})
# topo.sim.connect(
# 'V1','V1',delay=0.05,strength=-1.0*p.inh_strength,name='LateralInhibitory',
# connection_type=projection.CFProjection,learning_rate=p.inh_lr,
# nominal_bounds_template=sheet.BoundingBox(radius=0.22917),
# weights_generator=pattern.random.GaussianCloud(gaussian_size=0.15))
V1InhParams = {'delay':0.05, 'strength':-1.0*p.inh_strength, 'name':'LateralInhibitory',
'connection_type':projection.CFProjection,'learning_rate':p.inh_lr,
'nominal_bounds_template':sheet.BoundingBox(radius=0.22917),
'weights_generator':pattern.random.GaussianCloud(gaussian_size=0.15)}
V1InhBoundsChanged = makeDelayedLaterals('V1', 'LateralInhibitory' , V1InhParams, V1RingNo,
pattern.random.GaussianCloud, {'gaussian_size':0.15})
return [V1ExcBoundsChanged, V1InhBoundsChanged]
def connectLGNLaterals(LGNRingNo, PLOT):
boundsChangeList = []
# LGN has lateral connections for divisive normalization
for s in ['LGNOn','LGNOff']:
lgn_surroundg = pattern.Gaussian(size=0.25,aspect_ratio=1.0,
output_fns=[transferfn.DivisiveNormalizeL1()])
connectionParams = {'delay':0.05, 'name':'LateralGC',
'dest_port':('Activity'), 'activity_group':(0.6,DivideWithConstant(c=0.11)),
'connection_type': projection.SharedWeightCFProjection,
'strength':0.6, 'weights_generator':lgn_surroundg,
'nominal_bounds_template':sheet.BoundingBox(radius=0.25)}
boundsChanged = makeDelayedLaterals(s, ('GC%s' % s), connectionParams, LGNRingNo,
pattern.Gaussian, {'size':0.25,'aspect_ratio':1.0,
'output_fns':[transferfn.DivisiveNormalizeL1()]} )
boundsChangeList.append(boundsChanged)
return boundsChangeList
