def set(self,value,calc_output=True):
ArrayNode.set(self,value,calc_output=False)
if self.mode=='rate':
if value is None:
self._set_activity=None
else:
c=self.array_to_current(self._set_array)+self.Jbias
self._set_activity=self.current_to_activity(c)
if calc_output: self._calc_output()
def set(self,value,calc_output=True):
ArrayNode.set(self,value,calc_output=False)
if self.mode=='rate':
if value is None:
self._set_activity=None
else:
c=self.array_to_current(self._set_array)+self.Jbias
self._set_activity=self.current_to_activity(c)
if calc_output: self._calc_output()
def _calc_output(self):
if self.mode!='rate': return ArrayNode._calc_output(self)
if self._set_activity is not None:
out=self._set_activity
else:
out=self.current_to_activity(self.array_to_current(self.accumulator.value())+self.Jbias)
if self.apply_noise:
out=self.add_activation_noise(out)
self._output=out
def _calc_output(self):
if self.mode!='rate': return ArrayNode._calc_output(self)
if self._set_activity is not None:
out=self._set_activity
else:
out=self.current_to_activity(self.array_to_current(self.accumulator.value())+self.Jbias)
if self.apply_noise:
out=self.add_activation_noise(out)
self._output=out
def _calc_output(self):
if self.mode != 'rate': return ArrayNode._calc_output(self)
if self._set_activity is not None:
out = self._set_activity
elif self._input is not None:
out = self.current_to_activity(self._input)
else:
out = numpy.zeros(self.neurons)
if self.apply_noise:
out = self.add_activation_noise(out)
self._output = out
def array(self):
if self._array is None:
if self.mode!='rate': return ArrayNode.array(self)
self._array=self.activity_to_array(self._output)
return self._array
def array(self):
if self._array is None:
if self.mode!='rate': return ArrayNode.array(self)
self._array=self.activity_to_array(self._output)
return self._array
def _clear_inputs(self):
if self.mode != 'rate': return ArrayNode._clear_inputs(self)
if self._input is None: self._input = numpy.zeros(self.neurons)
self._input[:] = self.Jbias