def __init__(self, cscSignal, sampleFreq, tags={}, header=None):
signal.__init__(
self, tags=tags, header=header
) # NOTE: possiblity of name clashes! AnalogSignal ahs an Attribute signal!
self.sampleFreq = sampleFreq # [Hz]
dt = 1000. / sampleFreq # [ms] expects sampling frequency in [Hz]
NTsig.AnalogSignal.__init__(self, cscSignal, dt)
def __init__(self, fileName):
signal.__init__(self)
self.inputParams = io._read_metadata(fileName)
for key in self.inputParams.keys(): # convert dictionary to variables of the inputSignals object
exec 'self.'+key+'='+str(self.inputParams[key])
self.fileName=fileName
self.inputs=[]
self.loadInputs(fileName)
self.numInputs=self.inputs.__len__()
self.timeOffset=0.0
def __init__(self, fileName=None, timeUnit='ms', **kwargs):
signal.__init__(self)
self.timeUnit = timeUnit
if fileName:
data=numpy.loadtxt(fileName)
data=numpy.hstack((data[:,[1]], data[:,[0]])) # swap left and right columns in data, necessary to use SpikeList.__init__ properly
data=[tuple(t) for t in data]
self.meta = io._read_metadata(fileName)
NTsig.SpikeList.__init__(self, data, range(self.meta['first_id'], self.meta['last_id']+1))
else:
NTsig.SpikeList.__init__(self, [], [], t_start=kwargs['t_start'],\
t_stop=kwargs['t_stop'], dims=kwargs['dims'])
def __init__(self):
signal.__init__(self)
NTsig.AnalogSignalList.__init__(self, [], [], 1.)
def __init__(self, spike_times, timeUnit='ms'):
signal.__init__(self)
NTsig.SpikeTrain.__init__(self, spike_times)
def __init__(self, spike_times, spiketrain_type='', t_start=None, t_stop=None, timeUnit='ms'):
signal.__init__(self)
NTsig.SpikeTrain.__init__(self, spike_times, t_start=None, t_stop=None)
self.spiketrain_type = spiketrain_type # e.g. '' (empty), rightward, leftward