def test_all_directions(x=0,y=0,scale=0.6):
results=KeyedList()
## g=pattern.Gaussian(x=x,y=y,aspect_ratio=4.66667,
## size=0.088388,scale=1.0)
g = pattern.SineGrating(frequency=2.4,phase=0.0,orientation=0,scale=scale)
inputs = {}
for j in range(4):
inputs['Retina%s'%j] = pattern.Sweeper(generator=copy.deepcopy(g),
speed=2.0/24.0)
for i in frange(0.0, 2.0, 2.0/18.0, inclusive=True):
orientation = i*pi+pi/2
for j in range(4):
s = inputs['Retina%s'%j]
s.step = j
s.orientation = orientation
pattern_present(inputs=inputs,duration=1.0,
plastic=False,
overwrite_previous=True,
apply_output_fn=True)
if hasattr(topo,'guimain'):
topo.guimain.refresh_activity_windows()
results[i]=decode_feature(topo.sim['V1'],
preference_map="DirectionPreference")
return results
def test_all_orientations(x=0,y=0):
results=KeyedList()
for i in frange(0.0, 1.0, 1.0/36.0, inclusive=True):
input = pattern.Gaussian(x=x, y=y, orientation=i*pi,
size=0.088388, aspect_ratio=4.66667, scale=1.0)
pattern_present(inputs={'Retina' : input}, duration=1.0,
plastic=False,
overwrite_previous=True,
apply_output_fn=True)
if hasattr(topo,'guimain'):
topo.guimain.refresh_activity_windows()
results[i]=decode_feature(topo.sim['V1'], preference_map="OrientationPreference")
return results
def present_pattern(self):
"""
Move the user created patterns into the GeneratorSheets, run for
the specified length of time, then restore the original
patterns.
"""
topo.sim.run(0.0) # ensure EPs are start()ed
topo.sim.state_push()
for f in self.pre_presentation_hooks: f()
input_dict = dict([(sheet.name,sheet.input_generator) \
for sheet in self.plotgroup.sheets()])
pattern_present(input_dict,self.duration,
plastic=self.plastic,overwrite_previous=False)
topo.guimain.auto_refresh(update=False)
for f in self.post_presentation_hooks: f()
topo.sim.state_pop()
