def stimulusDataForParamsDictionary_version_(self, p, v):
mean = float(p['mean'])
phase = float(p['phase'])
f = float(p['frequency']) #in Hz
A = float(p['amp'])
sampleRate = float(p['sampleRate'])
length = float(p['length'])
dt = float(p['startTime'])
assert(f <= sampleRate/2) #make sure there won't be aliasing
time = np.linspace(0, length, num=round(sampleRate*length))
arr = (A * np.sin(2*np.pi*f*(time + dt) - phase)) + mean
return arr.astype(AcqUI.dtypeForAnalogOutput())
def stimulusDataForParamsDictionary_version_(self, p, v):
mean = float(p['mean'])
var = float(p['var'])
sampleRate = float(p['sampleRate'])
length = float(p['length'])
stepRate = float(p['stepRate'])
if(N.__version__ != p['numpyVersion']):
NSLog('Warning: A different numpy version (' + p['numpyVersion'] + ') was used to create SSG stimulus. Current version: ' + N.__version__)
self.rSource.set_state(pickle.loads(str(p['randomState'])))
ns = noise.StairStepNoiseSource(noise.GaussianNoiseSource(mean, var, self.rSource), stepRate)
arr = ns.noise(length, sampleRate)
return arr.astype(AcqUI.dtypeForAnalogOutput())
def stimulusDataForParamsDictionary_version_(self, p, v):
mean = p[BLWN_MEAN_KEY].doubleValue()
var = p[BLWN_VAR_KEY].doubleValue()
len = p[BLWN_LENGTH_KEY].doubleValue()
hz = p[BLWN_SAMPLE_RATE_KEY].doubleValue()
fCutoff = p[BLWN_FREQ_KEY].doubleValue()
nPoles = p[BLWN_NPOLES_KEY].intValue()
if(numpy.__version__ != p['numpyVersion']):
NSLog('Warning: A different numpy version (' + p['numpyVersion'] + ') was used to create BLWN stimulus. Current version: ' + numpy.__version__)
self.rSource.set_state(pickle.loads(str(p[BLWN_RANDOM_STATE_KEY])))
ns = BandLimitedNoiseSource(GaussianNoiseSource(mean, var, self.rSource), fCutoff, nPoles)
if(v==1): #random phase construction
arr = ns.noise(len, hz, rPhase=True)
else:
arr = ns.noise(len, hz)
return arr.astype(AcqUI.dtypeForAnalogOutput())
def stimulusDataForParamsDictionary_version_(self, p, v):
mean = float(p["mean"])
offset = float(p["offset"])
sampleRate = float(p["sampleRate"])
length = float(p["length"])
stepRate = float(p["stepRate"])
if N.__version__ != p["numpyVersion"]:
NSLog(
"Warning: A different numpy version ("
+ p["numpyVersion"]
+ ") was used to create BG stimulus. Current version: "
+ N.__version__
)
self.rSource.set_state(pickle.loads(str(p["randomState"])))
ns = noise.StairStepNoiseSource(noise.BinaryNoiseSource(mean, offset, self.rSource), stepRate)
arr = ns.noise(length, sampleRate)
return arr.astype(AcqUI.dtypeForAnalogOutput())