def _calc_output(self):
if self.mode != 'spike': return ActivityNode._calc_output(self)
if self._set_current is not None:
curr = self._set_current
else:
curr = self.array_to_current(self.accumulator.value()) + self.Jbias
if self.current_noise is not None:
curr = self.add_current_noise(curr)
self._output = self.calc_spikes(curr)
def _calc_output(self):
if self.mode!='spike': return ActivityNode._calc_output(self)
if self._set_current is not None:
curr=self._set_current
else:
curr=self.array_to_current(self.accumulator.value())+self.Jbias
if self.current_noise is not None:
curr=self.add_current_noise(curr)
self._output=self.calc_spikes(curr)
def _calc_output(self):
if self.mode != 'spike': return ActivityNode._calc_output(self)
if self._set_current is not None:
curr = self._set_current
elif self._input is not None:
curr = self._input
else:
curr = numpy.zeros(self.neurons)
if self.current_noise is not None:
curr = self.add_current_noise(curr)
self._output = self.calc_spikes(curr)
